data architect

FalconSmartIT

<p></p><div><p>Job Title:<b> Data Architect</b></p>
<p>Job Location<b>: London, UK</b></p>
<p>Job Type: <b>Permanent/ Contract</b></p><br>
<p></p><br>
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<p><b>Note on Snowflake</b></p>
<p>Candidates must have significant, hands-on Snowflake architecture experience including schema design, ingestion patterns, security configuration, and cost governance. Experience with other cloud warehouses (BigQuery, Redshift, Databricks) will be considered alongside demonstrable ability to operate at Snowflake depth quickly.</p>
<p></p><p><b>Data Architect</b></p>
<p>CAGM Engineering Project Compass</p>
<p><i>Accounts (RTL) Payments Engine FX Enterprise Data Platform</i></p><br>
<p></p><br>
<p><b>About the Role</b></p>
<p>We are seeking a senior Data Architect to join the CAGM Global Markets) engineering organisation as part of Project Compass. This programme is delivering next-generation capabilities across Accounts (Real-Time Ledger), Payments Engine, and Foreign Exchange all of which generate, consume, and depend on high-quality, well-governed data at scale.</p>
<p></p><p>The Data Architect will own the end-to-end data architecture across CAGM, spanning Snowflake as the enterprise data warehouse and a landscape of in-house application databases (relational, time-series, document, and in-memory stores) that serve real-time operational workloads. You will define how data flows from source systems into the warehouse, how application databases are modelled and managed, and how data products are exposed to downstream consumers within and beyond .</p>
<p></p><p>This is a hands-on, delivery-focused role. You will work closely with Integration Architects, platform engineers, and domain product teams to translate business data requirements into durable, governed, and scalable data solutions.</p>
<p></p><p><b>Key Responsibilities</b></p>
<p><b>Data Architecture &amp; Strategy</b></p>
<ul><li>Define and own the CAGM data architecture target state, covering the Snowflake enterprise data warehouse, application databases, and the data flows that connect them</li>
<li>Establish a unified data modelling standard across relational (PostgreSQL, Oracle), in-memory (Redis), time-series (TimescaleDB / InfluxDB), and document (MongoDB) stores used by CAGM applications</li>
<li>Design the data ingestion and movement architecture real-time CDC pipelines, batch ETL/ELT patterns, and event-driven feeds from the NATS messaging layer into Snowflake</li>
<li>Define data domain boundaries, ownership, and lineage standards aligned with Project Compass product domains (RTL, Payments, FX)</li>
<li>Produce and maintain authoritative data architecture artefacts: entity-relationship models, data flow diagrams, data dictionaries, and Architecture Decision Records (ADRs)</li>
</ul><p></p><p><b>Snowflake &amp; Data Warehouse</b></p>
<ul><li>Lead the design and evolution of the Snowflake data warehouse, including schema design (Raw / Conformed / Consumption layers), virtual warehouse sizing, and cost governance</li>
<li>Define standards for data loading (Snowpipe, Streams &amp; Tasks, external stages), transformation (dbt patterns), and data sharing across business units</li>
<li>Establish Snowflake data access controls, row-level security, dynamic data masking, and PII governance in line with regulatory requirements (GDPR, BCBS 239)</li>
<li>Champion Snowflake best practices for performance tuning, clustering keys, materialised views, and query optimisation</li>
<li>Evaluate Snowflake-native capabilities (Snowpark, Cortex AI, Dynamic Tables) and recommend adoption where they accelerate CAGM data product delivery</li>
</ul><p></p><p><b>Application Database Architecture</b></p>
<ul><li>Govern the application database landscape across CAGM reviewing schema designs, indexing strategies, and data lifecycle management across all in-house databases</li>
<li>Define patterns for operational data stores (ODS) that bridge real-time application databases and the analytical warehouse layer</li>
<li>Ensure consistency between transactional data models and their warehouse representations, minimising transformation complexity and maximising fidelity</li>
<li>Set standards for database change management, migration tooling (Liquibase / Flyway), and schema versioning across the CAGM application estate</li>
<li>Identify and remediate data quality issues at source, defining data contracts between application teams and downstream consumers</li>
</ul><p></p><p><b>Data Governance &amp; Quality</b></p>
<ul><li>Define and implement data governance frameworks covering data ownership, stewardship, classification (PII, sensitive, public), and retention policies</li>
<li>Establish data lineage and cataloguing standards, working with tooling such as Apache Atlas, Collibra, or Snowflake Horizon Catalog</li>
<li>Design and enforce data quality rules and SLAs at ingestion, transformation, and consumption layers</li>
<li>Collaborate with the Risk and Compliance function to ensure CAGM data architecture meets BCBS 239 Risk Data Aggregation and Reporting requirements</li>
<li>Champion Master Data Management (MDM) principles for shared reference data (counterparty, instrument, currency) across CAGM domains</li>
</ul><p></p><p><b>AI, Analytics &amp; Data Products</b></p>
<ul><li>Define the architecture for CAGM data products curated, well-documented datasets served to analytics, reporting, and AI/ML consumers</li>
<li>Design feature stores and data pipelines that support AI/ML model training and inference for use cases such as FX pricing, payment anomaly detection, and limit utilisation forecasting</li>
<li>Evaluate and integrate AI-assisted data tooling (AI-powered cataloguing, natural language querying, automated data quality) where it accelerates productivity</li>
<li>Partner with the Analytics Engineering team to establish dbt modelling standards, testing frameworks, and documentation practices</li>
</ul><p></p><p><b>Collaboration &amp; Leadership</b></p>
<ul><li>Work hands-on across multiple CAGM product teams as a data authority, balancing strategic design with direct delivery contribution</li>
<li>Guide and mentor application engineers on data modelling, query optimisation, and data quality best practices</li>
<li>Engage senior stakeholders across Technology, Finance, Risk, and Operations to communicate data strategy, risks, and trade-offs</li>
<li>Facilitate data architecture working groups with platform, BI, and enterprise architecture teams to align on shared standards</li>
</ul><p></p><p><b>Core Technical Skills</b></p>
<p></p><p><b>Data Warehouse</b></p>
<p>Snowflake schema design, Snowpipe, Streams &amp; Tasks, Snowpark, dynamic data masking, cost governance</p>
<p><b>Transformation</b></p>
<p>dbt (data build tool) modelling layers, testing, documentation, incremental strategies</p>
<p><b>Application Databases</b></p>
<p>PostgreSQL, Oracle, Redis, MongoDB, TimescaleDB / InfluxDB schema design, indexing, replication</p>
<p><b>Data Integration</b></p>
<p>CDC (Debezium / Kafka Connect), ETL/ELT pipelines, NATS event feeds, AWS Glue, Apache Spark</p>
<p><b>Cloud Platform</b></p>
<p>AWS S3, RDS, Aurora, Redshift (migration context), Glue, Lake Formation, IAM, VPC</p>
<p><b>Data Governance</b></p>
<p>Data lineage, cataloguing (Apache Atlas / Collibra / Snowflake Horizon), GDPR, BCBS 239, MDM</p>
<p><b>Architecture Practice</b></p>
<p>ERDs, data flow diagrams, data contracts, ADRs, C4 modelling, domain-driven data design</p>
<p><b>AI / ML Data</b></p>
<p>Feature stores, ML pipeline data design, Snowflake Cortex AI, vector stores, LLM data patterns</p>
<p><b>Query &amp; Performance</b></p>
<p>SQL optimisation, clustering keys, partitioning, query profiling, cost-based tuning</p>
<p></p><p><b>CAGM Data Landscape</b></p>
<p>The Data Architect will work across the following technology landscape. Candidates should have direct experience with the majority of these platforms and the ability to define coherent architecture across heterogeneous stores:</p>
<p></p><p><b>Platform / Store</b></p>
<p><b>Primary Use in CAGM</b></p>
<p><b>Key Architecture Concerns</b></p>
<p><b>Snowflake</b></p>
<p>Enterprise data warehouse, analytics, reporting, data sharing</p>
<p>Layer design, ingestion patterns, security, cost governance</p>
<p><b>PostgreSQL</b></p>
<p>Transactional data ledger entries, client records, audit</p>
<p>Schema design, CDC, replication lag, index strategy</p>
<p><b>Oracle DB</b></p>
<p>Legacy core banking integration, reference data</p>
<p>Migration strategy, data contracts, schema versioning</p>
<p><b>Redis</b></p>
<p>Real-time caches FX rates, limit state, session data</p>
<p>Cache invalidation, persistence strategy, data consistency</p>
<p><b>MongoDB</b></p>
<p>Document stores client profiles, trade enrichment data</p>
<p>Schema evolution, aggregation pipelines, CDC integration</p>
<p><b>TimescaleDB</b></p>
<p>Time-series market data ticks, position history</p>
<p>Hypertable design, retention policies, compression</p>
<p><b>NATS JetStream</b></p>
<p>Event streaming payments, ledger events, FX confirmations</p>
<p>Event schema contracts, consumer group design, replay strategy</p>
<p><b>AWS S3 / Glue</b></p>
<p>Data lake staging, archival, batch ingestion into Snowflake</p>
<p>Partitioning, file format (Parquet/ORC), Lake Formation governance</p>
<p></p><p><b>Finance Domain Knowledge</b></p>
<p>Candidates should have hands-on data architecture experience in one or more of the following financial services domains:</p>
<p></p><p><b>Domain</b></p>
<p><b>Key Data Concepts</b></p>
<p><b>Real-Time Ledger</b></p>
<p>Double-entry accounting data models, event-sourced ledgers, real-time balance aggregation, reconciliation datasets</p>
<p><b>Payments Engine</b></p>
<p>Payment message data (ISO 20022 / SWIFT), settlement instructions, payment status lifecycle, fee and charge data</p>
<p><b>Foreign Exchange</b></p>
<p>Trade data models, rate feeds and time-series storage, position keeping, P&amp;L attribution data</p>
<p><b>Limit Management</b></p>
<p>Exposure data models, limit hierarchy, breach event data, real-time risk aggregation feeds</p>
<p><b>Client Onboarding</b></p>
<p>Client master data, KYC / AML data structures, account hierarchy, regulatory reporting feeds</p>
<p><b>Regulatory Reporting</b></p>
<p>BCBS 239 data lineage, EMIR / MiFID trade reporting data, data quality SLAs for regulatory submissions</p>
<p></p><p><b>Experience &amp; Profile</b></p>
<ul><li>15+ years of progressive technology experience, with at least 5 years in senior data architecture roles</li>
<li>Deep, hands-on experience with Snowflake as an enterprise data warehouse ideally holding Snowflake SnowPro Core or Advanced: Architect certification</li>
<li>Proven track record of designing data architectures across heterogeneous application database landscapes in large financial institutions or fintech organisations</li>
<li>Demonstrated experience implementing data governance frameworks, lineage tooling, and data quality programmes at programme scale</li>
<li>Comfortable working hands-on writing dbt models, reviewing SQL, profiling queries while operating at senior stakeholder and architecture level</li>
<li>Experience with CDC-based real-time data pipelines and event-driven data integration patterns</li>
<li>Strong communicator able to convey complex data architecture decisions to both engineering teams and business stakeholders</li>
<li>Familiarity with AI/ML data architecture patterns (feature stores, vector databases, LLM data pipelines) is a strong advantage</li>
<li>AWS Solutions Architect or AWS Data Analytics certification is advantageous</li></ul></div><p></p>

Data Architect

Raytheon

<div><p><b>Date Posted:</b></p>
2026-06-10<p><b>
Country:</b></p>
United Kingdom<p><b>
Location:</b></p>
Warminster, Wiltshire<p><b>
Position Role Type:</b></p>
Hybrid<p></p><p><b>
Job Title: </b>Data Architect</p><div><div><div><div><div><div><div><div><div><p><b>
Function:</b> Engineering</p><p><b>
Duration: </b>Permanent</p><p><b>
Hours</b>: Full Time (37 hours per week)</p><p><b>
Location(s):</b> Warminster</p></div></div></div></div></div></div></div></div></div><p><b>
Security Clearance: Must be eligible to obtain or currently hold an SC Clearance</b></p><p></p><p><b>
The role:</b></p><p></p><p><br>
This is more than a job &mdash; <b>it&rsquo;s a mission</b>. You will be part of a high-impact, collaborative environment, where we expect everyone to live the values and standards of the British Army. Every person in our team plays a critical role in delivering OMNIA&rsquo;s vision; designing, delivering, and transforming collective training so the British Army is ready to fight and win.</p><p>
You&rsquo;ll work in a matrix organisation and report operationally through OMNIA Training and functionally to the Data Lead. Ultimately, you&rsquo;ll work for the British Army, championing innovation, and helping shape the future of military collective training.</p><p></p><p><b>
Key Responsibilities:</b></p><p></p><ul><li><p>
Design our scalable, secure and cost-effective cloud hybrid data solution aligned with Omnia enterprise architecture and Army training objectives.</p></li><li><p>
Design innovative data models and metadata systems to interpret and enhance business needs, promoting data as a strategic asset.</p></li><li><p>
Develop transitional data architectures and road maps in alignment with Omnia digital transformation objectives, enabling the evolution of integrated training solutions.</p></li><li><p>
Collaborate with cross-functional teams and partners to ensure data architectural integrity and alignment.</p></li><li><p>
Translate complex technical concepts for a non-technical audience, fostering understanding and buy-in from stakeholders.</p></li><li><p>
Support horizon scanning to identify and assess emerging technologies and determine their potential impact on leveraging data analytics to improve training delivery.</p></li><li><p>
Membership and contribution to the Omnia Architecture Board(s) to review, define, refine and uphold data architectural principles, policies, and standards across Omnia Training.</p></li><li><p>
Work with engineering teams to support and guide the implementation of a variety of solutions across multiple domains, in an agile environment.</p></li><li><p>
Manage and lead prototyping and research activity as required to realise the best solutions.</p></li><li><p>
Provide oversight and advice to engineers undertaking the design of data models and support the management of data dictionaries.</p></li><li><p>
Ensure the security and compliance of data environments through the implementation of appropriate architecture principles, security controls and governance frameworks.</p></li><li><p>
Author, review and contribute to technical documentation.</p></li><li><p>
Produce High- and low-level design artifacts for data storage, processing, and retrieval systems.</p></li><li><p>
Stay current with data technologies, making recommendations for use based on business value. Drive the adoption of these technologies.</p></li><li><p>
Serve as the Subject Matter Expert (SME) for the Omnia Data Lakehouse, providing strategic guidance, technical oversight, and deep expertise in its architecture, implementation, and optimisation.</p></li></ul><p></p><p><b>
Who we are looking for:</b></p><p></p><p>
You&rsquo;ll have a mission focus, and the enthusiasm and drive to &lsquo;get things done&rsquo;. You&rsquo;ll want to work in collaboration with other defence training organisations, and the British Army. You won&rsquo;t let bureaucracy get in the way of what needs to be done, you&rsquo;ll learn lessons and share these lessons across the team. You&rsquo;ll understand what it means to put the mission first.</p><p>
The Data Architect will provide strategic and practical leadership across the data architecture landscape of the Army Collective Training Service (ACTS). This role is pivotal in shaping and governing the enterprise data architecture to ensure it aligns with the ACTS vision and supports data as a mission-critical asset. Working closely with the Data Lead, Enterprise Architect and Chief Engineer, you will design, evolve, and maintain a secure, scalable, and interoperable data architecture, leveraging cloud services from AWS, Azure, and OCP where appropriate.</p><p>
This role requires a systems-thinking mindset, strong stakeholder engagement skills, and the ability to work across engineering teams in a complex and evolving environment.</p><p></p><p><b>
Essential Skills and Experience:</b></p><p></p><ul><li><p>
Proven experience designing and implementing scalable, secure, and interoperable data architectures in complex environments with cloud platforms (AWS, Azure, GCP, OCI) and cloud-native data services including use of services like S3, Lambda, Glue, Data Factory, etc.</p></li><li><p>
Experience designing and supporting implementation of large-scale data pipelines, data warehousing and Lakehouse technologies.</p></li><li><p>
Strong skills in conceptual, logical, and physical data modelling using tools like ER/Studio, ERwin, or Sparx EA (preferred). Experience reverse engineering models from existing databases.</p></li><li><p>
Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop).</p></li><li><p>
Experience with API management and gateway tools and services.</p></li><li><p>
Experience of RESTful APIs for ingesting and exposing data.</p></li><li><p>
Proven track record with data governance, quality, lineage, and security practices.</p></li><li><p>
Experience with real-time/streaming data technologies, data Ingestion / ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub).</p></li><li><p>
Experience in, or knowledge of, DevSecOps Tooling and Processes.</p></li><li><p>
Self-starter with the ability to appropriately prioritise and plan complex work in a rapidly changing environment.</p></li><li><p>
Strong critical thinker with problem solving aptitude.</p></li><li><p>
A working knowledge of MoD or Government IT Security environments and requirements at various classifications.</p></li><li><p>
Holder of current SC clearance, or the ability to gain it.</p></li></ul><p></p><p><b>
Desirable Skills and Experience:</b></p><p></p><ul><li><p>
Hands-on experience with containerisation and orchestration (Docker, Kubernetes, Red Hat OpenShift).</p></li><li><p>
Exposure to infrastructure-as-code tools (Terraform, CloudFormation).</p></li><li><p>
Experience with BI/visualisation tools (e.g., Tableau, Power BI, Looker, Elastic Stack).</p></li><li><p>
Knowledge of compliance frameworks (GDPR, HIPAA, CCPA) and their impact on data systems.</p></li><li><p>
Relevant Data and Architecture certification such as TOGAF, MODAF, AWS/Azure Certified Data Architect or Solutions Architect, DAMA Certified Data Management Professional (CDMP</p></li></ul><p></p><p><b>
What we offer:</b></p><p></p><ul><li><p>
Competitive salaries.</p></li><li><p>
25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr)</p></li><li><p>
Contributory Pension Scheme (up to 10.5% company contribution)</p></li><li><p>
Company bonus scheme (discretionary).</p></li><li><p>
6 times salary &lsquo;Life Assurance&rsquo; with pension.</p></li><li><p>
Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others.</p></li><li><p>
Enhanced sick pay.</p></li><li><p>
Enhanced family friendly policies including enhanced maternity, paternity &amp; shared parental leave</p></li></ul><p></p><p><b>
Work Culture:</b></p><ul><li><p>
37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements.</p></li><li><p>
Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role.</p></li><li><p>
A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities.</p></li></ul><p></p><p><b>
For this role the successful hire will need to be a permanent UK resident and be eligible to obtain or currently hold an SC Clearance.</b></p><p></p><p><b>
RTX
</b></p><p></p><p>Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington, Virginia, USA, but with over 180,000 employees globally across every continent, RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses &ndash; Collins Aerospace Systems, Pratt &amp; Whitney, and Raytheon.
</p><p></p><p>Supporting over 35,000 jobs across 13 UK sites, RTX is helping to drive prosperity. Each year our work contributes over &pound;2.7bn to the UK economy and offers a wealth of opportunities to 4,000 suppliers across England, Scotland, Wales and Northern Ireland. We&rsquo;re investing in all corners of the country, supporting 29,040 jobs in England, 3,040 in Northern Ireland, 1,900 in Scotland and 1,600 in Wales.</p><p></p><p>
#LI-AS3</p><p></p><p><i>
RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.</i>
</p><p></p><p><b>Privacy Policy and Terms:</b></p></div><p></p>

ANS Group Limited

<div><p>At ANS, the Data Solution Architect is pivotal in shaping and delivering end-to-end data solutions that align with business objectives and technical standards. This role focuses on designing robust, scalable architectures that enable seamless data integration, advanced analytics, and secure data management across diverse platforms. Working closely with engineers and stakeholders, the Data Solution Architect ensures that solutions are not only technically sound but also optimised for performance, reliability, and future growth. While hands-on implementation may occasionally be required, the primary responsibility lies in defining architectural patterns, guiding technical decisions, and translating complex requirements into actionable designs that drive value for both internal teams and customers.</p><p></p><p><b><br>
Roles and responsibilities...</b></p><ul><li>
Act as a trusted advisor, guiding customers and internal teams through complex architectural decisions with a focus on business value, scalability, and technical excellence.</li><li>
Design and document end-to-end data solutions clearly and accurately for internal and customer use, ensuring alignment with ANS standards and best practices.</li><li>
Collaborate with Project Managers and stakeholders to align on delivery timelines, report progress, and manage risks, while acting as a key point of contact for customer SMEs and technical teams to clarify requirements and solution design.</li><li>
Contribute to discovery and planning, identifying areas such as governance, security, maturity, adoption, and functional/non-functional requirements, and provide actionable recommendations.</li><li>
Educate and enable customers and internal teams, building knowledge of enterprise data platforms, architectural patterns, and best practices.</li><li>
Engage in continuous learning through certifications (e.g., DP-600, DP-700, AI-900, AI-102) and development days to stay current with emerging technologies and industry trends.</li><li>
Participate in the Data Architecture Guild, sharing knowledge, influencing standards, and helping shape architectural practices across ANS.</li><li>
Ensure information security and compliance are embedded in all designs, adhering to business policies and procedures.</li></ul><p></p><p><b><br>
Skills and experience required...</b></p><p><b>
Must-have</b></p><ul><li>
Deep expertise in Big Data architecture and design, with significant experience delivering enterprise-scale solutions.</li><li>
Design and implementation experience with at least three of the following: Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Databricks.</li><li>
Microsoft Fabric knowledge, including architecture design and integration with existing data ecosystems.</li><li>
Data catalogue, modelling, warehousing, and analytics experience across multiple platforms.</li><li>
Proven understanding of security and governance, including cloud infrastructure, compliance frameworks, and data protection principles.</li><li>
Strong presentation and visualisation skills using a variety of customer facing tools to present diagrams and designs.</li><li>
Cloud proficiency with Azure, including Infrastructure as Code (IaC) and services across IaaS, SaaS, and PaaS.</li><li>
Knowledge of Well-Architected Frameworks, security principles, and Agile/Waterfall project lifecycles.</li><li>
Database expertise in SQL and NoSQL technologies.</li></ul><p><b>
Desirable</b></p><ul><li>
Programming and automation: SQL, Python, Azure DevOps.</li><li>
IoT design architecture for connected solutions.</li><li>
Master Data Management (MDM) design and implementation.</li><li>
Architecture and cloud-related certifications, e.g., TOGAF, Azure Solutions Architect Expert.</li><li>
Experience with emerging technologies such as real-time analytics, AI/ML integration, and data mesh principles.</li></ul><p>
At ANS, we&rsquo;ve created a place where everyone can be themselves, and we empower our people to get the job done. Openness, ambition, honesty, and passion are what drive us every day. We are bold, courageous, and innovative &ndash; and we do it like no other. We invest in our people. In training, development, health and more &ndash; we give you the benefits and flexibility to maintain a happy work-life balance.</p><p>
We&rsquo;re proud of the inclusive, fun, dynamic environment we&rsquo;ve created. It&rsquo;s a safe space that works for all. You don&rsquo;t have to be a techie to work in tech. Bring your authentic self and find your dream role here. Find out more at LinkedIn pages</p><p><br>
With fantastic benefits, an inclusive culture, and a cool office space, we&rsquo;re your kind of workplace.</p><p></p><ul><li>
As standard: 25 days&rsquo; holiday, plus you can buy up to 5 more days</li><li>
A little extra: we&rsquo;ll give you your birthday off, and an extra celebration day for whatever you want! Tying the knot? You get 5 days&rsquo; additional holiday in the year you get married. Oh, and 5 volunteer days!</li><li>
Private health insurance</li><li>
Pension contribution match and 4 x life assurance</li><li>
Flexible working and work from anywhere for up to 30 days per year (some exceptions)</li><li>
Maternity: 16 weeks&rsquo; full pay, Paternity: 3 weeks&rsquo; full pay, Adoption: 16 weeks&rsquo; full pay</li><li>
Company social events &ndash; get ready for a jam-packed calendar</li><li>
Electric car scheme</li><li>
12 days of personal growth development time</li></ul><p>
ANS are an equal opportunities employer. We encourage diversity and anyone applying for a role at our organisation can be assured that their application will be treated fairly, regardless of age, disability, gender reassignment, gender expression, marriage and civil partnership, pregnancy and maternity, race, religion or belief and sex or sexual orientation. We sometimes ask for information relating to individuals for equal opportunities monitoring purposes only.</p></div>

OSB Group

<div>About the team:
<p>
At OSB Group, our Technology and Data functions are central to delivering our strategy and supporting our purpose &ndash; helping more people securely achieve their ambitions.</p><p></p><p><br>
As we continue to mature our enterprise data capability, we&rsquo;re recruiting a <b>Data Architect</b> to help shape how data is organised, governed and consumed across the Group. This is a senior, strategic role responsible for defining and implementing an enterprise‑wide data architecture that supports OSB&rsquo;s business goals, aligns to our data strategy, and enables colleagues to confidently use trusted, well‑structured data.</p><p></p><p><br>
Reporting into the Group Head of Data Architecture, you&rsquo;ll work closely with business stakeholders, data specialists and engineering teams to design the models, standards and architectural components that underpin OSB&rsquo;s data ecosystem. You&rsquo;ll ensure our data assets are secure, compliant, easy to consume and fit for the future, while driving continuous improvement and supporting innovation across analytics, AI and advanced data use cases.</p><p></p><p><br>
The role can be based from our Wolverhampton, London or Chatham offices with regular travel to London expected where this is not your home location.</p>
What you will be doing?:
<p>
As a Data Architect you will shape and maintain OSB&rsquo;s enterprise‑wide data architecture, ensuring our data is well‑structured, secure, compliant and easy for the business to use.</p><p>
Your responsibilities will include:</p><ul><li>
Define and maintain OSB&rsquo;s enterprise data architecture, creating models, standards and blueprints aligned to business strategy, regulatory expectations and data governance.</li><li>
Partner with business and data stakeholders to translate domain needs into architectural requirements, ensuring data is structured, integrated and easily consumable for analysts, data scientists and engineers.</li><li>
Establish and oversee data lifecycle, security, privacy and compliance practices, ensuring adherence to GDPR, Basel and OSB&rsquo;s risk and governance frameworks.</li><li>
Design and evolve conceptual, logical and physical data models, supporting cloud‑native data processing, Azure/Databricks ecosystems and modern consumption patterns.</li><li>
Drive continuous improvement by adopting emerging technologies (including AI), enhancing architecture components and safely decommissioning legacy data and systems.</li><li>
Maintain clear documentation, contribute to data governance forums and support experimentation, exploration and innovation within the Data Office.</li><li>
Communicate complex technical concepts to non‑technical audiences, applying strong analytical, critical‑thinking and problem‑solving skills in a collaborative, enterprise‑wide environment.</li></ul>
What's in it for you?:
<ul><li>Base salary between &pound;85,000 - &pound;95,000 dependent upon experience</li><li>
Enhanced family-focused benefits</li><li>
Annual bonus opportunity</li><li>
30 days annual leave + bank holidays</li></ul><div><i>
Please use this link to see the fantastic benefits available at OSB:</i><i> OSB Careers</i></div>
About us:
<div>
At OSB Group, we understand how much our people bring to our organisation, which is why we try our best to give back too! Our Purpose is to help our customers, colleagues and communities prosper and we are on a transformation journey to become &lsquo;the bank of the future&rsquo;.</div><div></div><div><br>
Our commitment to professional development, flexible working, and employee well-being fosters a dynamic and supportive workplace.</div>
Do you have the skills?:
<div>
We are looking for talented individuals who have the experience and knowledge set out below:</div><ul><li>
Proven experience as a Data Architect with Microsoft Azure Databricks ecosystem including Data Fabric managing different consumption processes.</li><li>
Deep knowledge of enterprise data architecture frameworks, principles, standards and how they align to business strategy, regulatory expectations and governance.</li><li>
Advanced understanding of enterprise data modelling techniques, data lifecycle management, master data management and modern data consumption patterns.</li><li>
Strong familiarity with data governance frameworks, data security practices, cloud‑native processing and best‑practice cloud data architecture.</li><li>
Awareness of emerging data technologies, architectural trends and cost‑management considerations across enterprise data ecosystems.</li><li>
Advanced analytical, critical‑thinking and problem‑solving skills, able to define the right architectural approach and drive strategic change.</li><li>
Excellent communication skills, able to explain complex technical concepts clearly to non‑technical stakeholders and collaborate effectively across a maturing Data &amp; Analytics organisation.</li></ul>
Next steps:
<div>
If this sounds like you, please apply now! For internal applications please visit the internal careers page to apply.</div><div></div><p><i><br>
Still on the fence? Hear from our team or explore our process: </i><i>OSB Careers</i></p><p></p><p><i><br>
Shortlisted candidates will go through a personalised recruitment process, that is relevant and conversational. If you need any adjustments or support, we&rsquo;re here to make </i><i>sure you can show your best self.</i></p><p></p><p><i><br>
We are proud to be a Disability Confident employer and are committed to creating an inclusive and accessible workplace where everyone can thrive.</i></p><p></p><p><i><br>
We welcome applications from people of all backgrounds and encourage candidates with disabilities and long-term health conditions to apply.</i></p><p></p><p><i><br>
If you meet the minimum criteria for the role and would like to be considered under our Disability Confident Scheme, please indicate this on your application.</i></p><p></p><p><b><i><br>
Diversity, Equity &amp; Inclusion</i></b></p><p></p><p><i><br>
Our team value spending time together in the office, typically 3 days a week to support collaboration and connection with colleagues, but we&rsquo;re happy to have a conversation about what flexibility might look like for you.</i></p><p><i><br>
Not sure if you meet the spec? Let us decide. Research tells us that those from marginalised groups feel like they need to meet 100% of the criteria to apply. Here at OSB, we are committed to inclusivity and understand the value different experiences and perspectives can bring, so please don&rsquo;t feel like you need to check every box to apply for a role internally.</i></p><p></p><p><i><br>
We champion diversity at all levels, with Board-level Diversity Champions tracking our progress. We are proud to be signed up to the Women in Finance Charter to actively support the growth and development of senior women in our sector and are dedicated to treating all our employees and job applicants equally, opposed to discrimination on any grounds.</i></p></div><div></div>

Xebia

<div>
 <p>
  We are seeking a
  <strong>
   Databricks Architect
  </strong>
  with deep expertise in
  <strong>
   Azure Data Platform, Data Modelling, and Medallion (Lakehouse) Architecture
  </strong>
  . The ideal candidate will design and implement scalable, high-performance data solutions using
  <strong>
   Databricks, Delta Lake, and modern data engineering practices
  </strong>
  , enabling enterprise-wide analytics and business intelligence.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Abu Dhabi
 </p>
 <p>
  <strong>
   Experience:
  </strong>
  10&ndash;15+ Years
 </p>
 <p>
  <strong>
   Email
  </strong>
  : vijay.kajla@xebia.com
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   Medallion Architecture &amp; Lakehouse Design
  </strong>
 </p>
 <ul>
  <li>
   Design and implement
   <strong>
    Medallion Architecture (Bronze, Silver, Gold layers)
   </strong>
   on
   <strong>
    Azure Databricks
   </strong>
  </li>
  <li>
   Define data flow standards across ingestion, cleansing, transformation, and consumption layers
  </li>
  <li>
   Ensure
   <strong>
    data quality, lineage, and governance
   </strong>
   across all layers
  </li>
  <li>
   Optimize storage and compute using
   <strong>
    Delta Lake features (ACID transactions, time travel, schema evolution)
   </strong>
  </li>
 </ul>
 <p>
  <strong>
   Architecture &amp; Strategy
  </strong>
 </p>
 <ul>
  <li>
   Architect
   <strong>
    end-to-end Azure data platforms
   </strong>
   using:
  </li>
  <li>
   Azure Databricks
  </li>
  <li>
   ADLS Gen2
  </li>
  <li>
   Azure Data Factory
  </li>
  <li>
   Azure Synapse
  </li>
  <li>
   Define
   <strong>
    data platform standards, best practices, and reusable frameworks
   </strong>
  </li>
  <li>
   Lead
   <strong>
    data modernization initiatives
   </strong>
   (on-prem to cloud, legacy to lakehouse)
  </li>
 </ul>
 <p>
  <strong>
   Data Engineering Leadership
  </strong>
 </p>
 <ul>
  <li>
   Build scalable pipelines using
   <strong>
    PySpark, Spark SQL, and Databricks workflows
   </strong>
  </li>
  <li>
   Implement
   <strong>
    batch + real-time ingestion patterns
   </strong>
  </li>
  <li>
   Drive
   <strong>
    performance tuning and cost optimization
   </strong>
  </li>
  <li>
   Mentor teams on
   <strong>
    Spark optimization, partitioning, and job orchestration
   </strong>
  </li>
 </ul>
 <p>
  <strong>
   Data Modelling
  </strong>
 </p>
 <ul>
  <li>
   Design
   <strong>
    enterprise-grade data models
   </strong>
   :
  </li>
  <li>
   Dimensional (Star/Snowflake)
  </li>
  <li>
   Normalized and Data Vault (nice to have)
  </li>
  <li>
   Align data models with
   <strong>
    Gold layer consumption use-cases (BI/Reporting)
   </strong>
  </li>
  <li>
   Translate business needs into
   <strong>
    scalable analytical datasets
   </strong>
  </li>
 </ul>
 <p>
  <strong>
   Integration &amp; Consumption
  </strong>
 </p>
 <ul>
  <li>
   Build ingestion pipelines using:
  </li>
  <li>
   <strong>
    ADF, Event Hub, Kafka, APIs
   </strong>
  </li>
  <li>
   Enable reporting via:
  </li>
  <li>
   <strong>
    Power BI, Tableau, or similar BI tools
   </strong>
  </li>
  <li>
   Ensure seamless consumption from
   <strong>
    Gold datasets
   </strong>
  </li>
 </ul>
 <p>
  <strong>
   Stakeholder Engagement
  </strong>
 </p>
 <ul>
  <li>
   Act as a
   <strong>
    data architecture SME
   </strong>
   in client discussions
  </li>
  <li>
   Drive solutioning, architecture reviews, and governance forums
  </li>
  <li>
   Collaborate with business teams for
   <strong>
    data-driven decision making
   </strong>
  </li>
 </ul>
 <p>
  <strong>
   Required Skills
  </strong>
 </p>
 <p>
  <strong>
   Core
  </strong>
 </p>
 <ul>
  <li>
   Strong hands-on experience with
   <strong>
    Azure Databricks &amp; Delta Lake
   </strong>
  </li>
  <li>
   Proven expertise in
   <strong>
    Medallion Architecture implementation
   </strong>
  </li>
  <li>
   Advanced
   <strong>
    PySpark and Spark SQL
   </strong>
  </li>
  <li>
   Experience with
   <strong>
    ADF, ADLS Gen2, Synapse
   </strong>
  </li>
 </ul>
 <p>
  <strong>
   Data Modelling
  </strong>
 </p>
 <ul>
  <li>
   Strong experience in:
  </li>
  <li>
   <strong>
    Dimensional modelling (must-have)
   </strong>
  </li>
  <li>
   Data modelling aligned to
   <strong>
    Gold layer analytics
   </strong>
  </li>
  <li>
   Understanding of
   <strong>
    data quality and governance frameworks
   </strong>
  </li>
 </ul>
 <p>
  <strong>
   Nice-to-Have
  </strong>
 </p>
 <ul>
  <li>
   Real-time processing (
   <strong>
    Kafka / Spark Streaming
   </strong>
   )
  </li>
  <li>
   Azure Purview or data governance tools
  </li>
  <li>
   ML pipelines on Databricks
  </li>
  <li>
   Domain: Airlines / BFSI / Retail
  </li>
 </ul>
 <p>
  <strong>
   Leadership Skills
  </strong>
 </p>
 <ul>
  <li>
   Strong architectural thinking
  </li>
  <li>
   Client-facing experience
  </li>
  <li>
   Ability to lead and scale engineering teams
  </li>
  <li>
   Excellent communication and stakeholder management
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  We are an Equal Opportunity Employer committed to fostering a diverse, inclusive, and respectful workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We believe diversity drives innovation and success, and we welcome individuals from all backgrounds to join our team.
 </p>
</div>


Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking a Data Architect to join our AI project team. In this role, you will design and implement the data architecture needed to support machine learning and AI solutions, including defining data models, storage patterns, and governance frameworks. You will ensure that data from various sources is well-organised, accessible, and AI-ready, working closely with data engineers and ML engineers to build robust data pipelines and maintain high data quality for analytics and model development.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Data Modelling &amp; Schema Design: Develop and maintain data models (conceptual, logical, and physical) that define how data is stored and related. This includes designing relational schemas, graph data models for knowledge graphs, and time-series data structures as needed, ensuring they accurately represent business entities and relationships. You will continually refine these models to meet AI use cases and evolving business requirements.
</p></div><div><p>Data Storage Architecture: Define and implement data storage and management patterns that optimise data retrieval and analytics performance. This involves selecting or designing appropriate storage solutions (e.g. relational databases, NoSQL/graph databases, data warehouses, data lakes) and structuring them for scalability and fast access to large datasets used in AI projects. Ensure the architecture can handle structured and unstructured data and is cloud-ready for elasticity.
</p></div><div><p>Data Pipelines &amp; Integration: Build and oversee robust data pipelines (ETL/ELT processes) to integrate data from multiple sources into centralised platforms. You will design workflows to collect, transform, and load data into analytics repositories or feature stores, guaranteeing that AI models have consistent, well-prepared data to work with. This includes setting up stream processing for real-time data when required and automating pipeline orchestration for efficiency.
</p></div><div><p>Data Governance &amp; Quality: Establish and enforce data governance policies and standards. This means defining practices for data quality, data cleaning, and master data management, as well as setting security and privacy controls to protect sensitive information. You will ensure compliance with relevant data regulations and implement data security measures (e.g. access controls, encryption) and validation rules so that the data used in AI is trustworthy and compliant.
</p></div><div><p>Metadata Management &amp; Lineage: Implement frameworks for data metadata management and lineage tracking. This includes maintaining data catalogues or dictionaries that describe data meaning (possibly leveraging ontologies), and tools or processes to trace how data flows through pipelines and transformations. By providing transparency into data origins and transformations, you support model interpretability and enable troubleshooting of data issues, which is critical in AI development.
</p></div><div><p>Collaboration with Engineering Teams: Work closely with data engineers, ML engineers, and data scientists to ensure the data architecture meets their needs. You will collaborate on designing data interfaces (e.g. APIs or query endpoints) and assist in shaping how data is used for features in machine learning. This role requires translating requirements between data teams and ML teams, and jointly resolving issues to streamline the path from raw data to AI insights.
</p></div><div><p>Performance Optimisation &amp; Scaling: Monitor the performance and scalability of the data infrastructure, and tune it as the AI project grows. Optimise database queries, indexing, and storage layouts for faster model training and inference data access. Plan for scale by leveraging cloud capabilities (compute, storage) and manage costs effectively, adjusting architectures (partitioning, caching, etc.) to maintain efficient, cost-effective operations as data volumes increase. You may also evaluate new technologies (e.g. distributed computing frameworks or new databases) and incorporate them to continually improve the architecture.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Education: Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent professional experience). An advanced degree is a plus but not required.
</p></div><div><p>Experience: Approximately 3-5 years of experience in data architecture, data engineering, or a related data management role. A proven track record in designing data solutions and managing data schemas is expected.
</p></div><div><p>Data Modelling &amp; Databases: Strong proficiency in data modelling and database design. You should be comfortable creating ER diagrams and defining relational schema, as well as working with NoSQL databases (e.g. document or graph databases). Practical experience with SQL and at least one relational database is required, as well as deep knowledge of other data store types (especially graph databases) is highly needed.
</p></div><div><p>Data Pipeline Development: Hands-on experience developing data pipelines and integration workflows. This includes proficiency in ETL/ELT tools or frameworks (or custom scripting with Python/SQL) to gather and transform data. You should understand how to optimise data flow and have experience with batch processing; experience with real-time streaming data (e.g. using Kafka or equivalent) is a plus.
</p></div><div><p>Ontologies &amp; Knowledge Graphs: Exposure to semantic data modelling, ontologies, or knowledge graph construction. Experience in structuring data with ontologies (e.g. using RDF/OWL standards) or implementing a knowledge graph to link datasets can be very beneficial, since it helps in creating a unified data vocabulary and enriches the context for AI models.
</p></div><div><p>Cloud Data Platforms: Experience working with cloud-based data platforms or big data technologies. While our approach is cloud-agnostic, you should be familiar with concepts like data lakes, data warehouses, and distributed computing in a cloud environment (e.g. using AWS, Azure, or GCP services). The ability to design solutions that leverage cloud scalability and tools for storage and processing is important.
</p></div><div><p>Data Governance &amp; Security: Solid understanding of data governance principles and best practices. You should be knowledgeable about data privacy regulations and data protection techniques, ensuring compliance in how data is stored and used. Experience implementing data quality checks, defining data standards, and using or setting up metadata management tools will be useful.
</p></div><div><p>Communication &amp; Teamwork: Excellent communication skills with the ability to collaborate in cross-functional teams. You should be able to translate complex data architecture concepts into clear terms for project managers or stakeholders, and work closely with engineering teams to guide implementation. Problem-solving aptitude and a willingness to mentor junior data team members are also important in our collaborative environment.
</p></div></div><p>Nice to have
</p><div><div><p>AI/ML Project Involvement: Experience working on projects that involve AI or machine learning, where you partnered with data scientists or ML engineers. For example, having supported an ML model deployment by providing well-structured data and ensuring data reliability. This background will help you anticipate the needs of AI initiatives and design data architectures that facilitate model training and inference.
</p></div><div><p>Data Governance Tools: Familiarity with data governance or data cataloguing tools (such as Collibra, Alation, or Apache Atlas) and lineage-tracking systems. Hands-on experience setting up or maintaining a data catalogue, documenting data definitions, or automating data lineage capture is a strong plus, as it shows ability to operationalise governance and transparency in data ecosystems.
</p></div><div><p>Modern Data Architecture Patterns: Experience with modern data architecture concepts and patterns. This could include implementing or working with data lakehouse architectures (combining data lake flexibility with data warehouse performance), data mesh principles (decentralising data ownership to domain teams), or event-driven/streaming architectures. Familiarity with these approaches demonstrates adaptability and knowledge of cutting-edge solutions for handling complex data workflows.
</p></div><div><p>Certifications: Relevant industry certifications are advantageous. Certifications such as AWS/Azure/GCP data engineering certifications, Certified Data Management Professional (CDMP), or other credentials in data architecture and cloud services show validated expertise and a commitment to staying current with technology developments. While not mandatory, they could strengthen your candidacy.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>London, United Kingdom of Great Britain and Northern Ireland
</p></div><p>Req. VR-123709
</p></div><div></div><div><div><p>AI/ML
</p></div><div><p>BCM Industry</p>
</div><div><p>30/06/2026
</p></div><div><p>Req. VR-123709</p></div></div></div><p></p>

Ofgem

<div><div><h2 class="jobSectionHeader"><b>Details</b></h2>
<div><h3 class="jobSectionHeader"><b>Reference number</b></h3>
<div>467899
</div></div><div><h3 class="jobSectionHeader"><b>Salary</b></h3><div>
&pound;49,452 - &pound;62,699</div></div><div><div>
National &pound;49,452-58,519, London &pound;52,397-62,699
<br>
<br>
Please ensure that you read the Pay and Reward information for civil service and internal colleagues before applying.</div></div><div><div>
A Civil Service Pension with an employer contribution of 28.97%</div></div>
<div>GBP</div>
<div><h3 class="jobSectionHeader"><b>Job grade</b></h3><div><div>
Grade 7</div></div><div><div>
OFGEM Level 2b</div></div></div><div><h3 class="jobSectionHeader"><b>
Contract type</b></h3><div>
Permanent</div></div><div><h3 class="jobSectionHeader"><b>
Business area</b></h3><div>
OFGEM - Corporate Services - Digital, Data and Technology Services (DDSS)</div></div><div><h3 class="jobSectionHeader"><b>
Type of role</b></h3><div>
Digital<br>
Information Technology</div></div><div><h3 class="jobSectionHeader"><b>
Working pattern</b></h3><div>
Flexible working, Full-time</div></div><div><h3 class="jobSectionHeader"><b>
Number of jobs available</b></h3><div>
1</div></div></div>
<div><div><h2 class="jobSectionHeader"><b>Contents</b></h2></div><div><ul><li>
Location</li><li>
About the job</li><li>
Benefits</li><li>
Things you need to know</li><li>
Apply and further information</li></ul></div><div><h2 class="jobSectionHeader"><b>
Location</b></h2></div><div><div>
Successful candidates may be based in any of our office locations  Cardiff, Glasgow, or London. We especially welcome applicants from Cardiff and Glasgow.</div></div><div><h2 class="jobSectionHeader"><b>
About the job</b></h2></div><div><h3 class="jobSectionHeader"><b>
Job summary</b></h3><div><p>
Across government, data architecture has become a critical capability in enabling organisations to unlock the value of their data, support informed decision making and deliver high-quality, joined-up services. As data ecosystems grow in scale and complexity, there is an increasing need for strong architectural leadership to ensure that data is structured, governed and integrated effectively. Modern data architecture is central to ensuring interoperability, enabling analytics and innovation, and supporting secure, resilient digital services.</p><p>
At Ofgem, data is fundamental to delivering our mission to protect energy consumers and support the transition to a secure, affordable and sustainable energy system. As we continue to strengthen our Digital, Data and Security Services (DDSS) directorate, we are investing in our data architecture capability to ensure that data is consistent, accessible and aligned with organisational strategy. This will enable better insight, improved decision making and more effective delivery of regulatory and operational services.</p><p>
As a <b>Senior Data Architect</b>, you will lead the design and implementation of data architectures across projects and programmes, ensuring alignment with Ofgems enterprise data strategy and standards. You will work closely with architects, engineers and business stakeholders to design scalable, interoperable and secure data solutions that meet both operational and analytical needs.</p><p>
This is a highly collaborative and influential role, combining strong technical expertise with the ability to engage and influence stakeholders across the organisation. You will play a key role in shaping Ofgems data landscape, driving best practice and helping to build a more mature, consistent and effective approach to data architecture.</p></div></div><p></p><div><h3 class="jobSectionHeader"><b><br>
Job description</b></h3><div><p><b>
You will be responsible for:</b></p><ul><li>
Leading the design of conceptual, logical and physical data models, ensuring alignment with enterprise architecture principles and business needs</li><li>
Defining and promoting data standards, frameworks and best practices to ensure consistency, quality and compliance across data initiatives</li><li>
Designing data integration patterns that enable effective sharing, reuse and interoperability of data across systems and services</li><li>
Ensuring that data solutions meet security, privacy and quality requirements throughout the full data lifecycle</li><li>
Providing technical assurance for data solutions, ensuring alignment with governance, regulatory and architectural standards</li><li>
Collaborating with data architects, engineers, analysts and wider stakeholders to deliver effective and scalable data solutions</li><li>
Supporting the development of Ofgems data governance approach, including metadata management and master data practices</li><li>
Driving continuous improvement in data architecture, contributing to the development of standards, tools and ways of working across DDSS</li><li>
Creating and maintaining architectural artefacts and documentation to support organisation-wide understanding and reuse</li></ul><p><b>
We are looking for:</b></p><p>
An experienced data architect with a strong track record of designing and delivering enterprise-scale data architectures and models. You will have a deep understanding of data management and governance principles, and the ability to apply these to complex organisational environments.</p><p>
You will bring strong expertise in data modelling, including conceptual, logical and physical modelling, and be confident working with a range of architectural frameworks and tools such as ArchiMate, UML or equivalent. Experience of designing data solutions across cloud or hybrid environments will support your success in this role.</p><p>
Your ability to collaborate and communicate effectively will be key. You will be confident working with both technical and non-technical stakeholders, translating business needs into robust data designs and ensuring that solutions deliver tangible value.</p><p>
You will also demonstrate a strong understanding of data standards, integration patterns and governance frameworks, with the ability to drive best practice and ensure compliance across data initiatives. Relevant certifications, such as BCS Enterprise Architecture or Azure Solution Architect, will support your credibility.</p><p>
In addition, you will be proactive, forward-thinking and committed to continuous improvement, contributing to the development of Ofgems data architecture capability and wider data community.</p><p><b>
Why join Ofgem?</b></p><p>
This is an opportunity to play a key role in shaping how data is structured, managed and used across a nationally significant organisation. Your work will directly support Ofgems ability to deliver insight-driven regulation, improve services and support the UKs transition to a Net Zero energy systemat a time when effective data architecture has never been more important.</p></div></div><div><h3 class="jobSectionHeader"><b>
Person specification</b></h3><div><p>
Essential Criteria</p><ul><li>
Demonstrable experience in designing and implementing enterprise-scale data architectures, solutions and models that enable effective information management and analytics <b>(Lead Criteria).</b></li><li>
Strong understanding of data management and governance principles to ensure consistency, quality, and compliance across data ecosystems <b>(Lead Criteria).</b></li><li>
Collaborates effectively across technical and business teams, ensuring data architecture aligns with organisational strategy and stakeholder needs.</li><li>
Proficiency in architectural modelling tools such as Archi and frameworks, such as ArchiMate, UML, or equivalent, with the ability to create and maintain architectural artefacts.</li></ul><p>
Holds or can obtain the following certifications or equivalent within 6 months:</p><ul><li>
Formal Architectural Qualification such as BCS EA Certification or equivalent</li><li>
Cloud Architecture Certification: Microsoft Azure Solution Architect.</li></ul><p>
Desirable Criteria</p><ul><li>
Experienced in delivering enterprise data architectures across hybrid or multi-cloud environments, ensuring interoperability and performance.</li></ul></div></div><div><h3 class="jobSectionHeader"><b>
Behaviours</b></h3>
<div><p>We'll assess you against these behaviours during the selection process:</p>
<ul><li>Seeing the Big Picture</li>
<li>Making Effective Decisions</li>
<li>Communicating and Influencing</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>Technical skills</b></h3>
<div><p>We'll assess you against these technical skills during the selection process:</p>
<ul><li>You will also be asked to prepare a presentation. Full details of the presentation will be included in the invitation to interview.</li>
</ul></div></div><div><h2 class="jobSectionHeader"><b>Benefits</b></h2></div><div><div>
Alongside your salary of &pound;49,452, OFGEM contributes &pound;14,326 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides .</div></div><div><div>
Ofgem can offer you a comprehensive and competitive benefits package which includes; 30 days annual leave after 2 years; Excellent training and development opportunities; The opportunity to join the generous Civil Service pension which also includes a valuable range of benefits; hybrid working (currently 1 day a week in the office but this is kept under review), flexible working hours and family friendly policies. Plus lots of other benefits including clean and bright offices based centrally, engaged networks and teams and an opportunity to contribute to our ambitious and important targets of establishing a Net Zero energy system by 2050. This exciting blend of professional challenge and personal reward identifies career opportunities at Ofgem as something to get excited about.</div></div><div><h2 class="jobSectionHeader"><b>
Things you need to know</b></h2></div><div><h3 class="jobSectionHeader"><b>
Artificial intelligence</b></h3><div>
Artificial intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use.</div></div><div><h3 class="jobSectionHeader"><b>
Selection process details</b></h3><div><div>
This vacancy is using Success Profiles , and will assess your Behaviours, Experience and Technical skills.</div></div><div><div><p>
When you press the Apply now button, you will be asked to complete personal details (not seen by the sift panel), your career history and qualifications.</p><p>
You will then be asked to provide a 1250 word personal statement evidencing how you meet the essential and desirable skills and capabilities listed in the role profile. Please ensure you demonstrate clearly, within your supporting statement, how you meet each of the criteria listed in the role profile. In the event of receiving a large number of applications, an initial sift may take place on just the <b>lead criteria</b> indicated in the essential criteria.</p><p><i>
The personal information we have collected from you will be shared with Cifas who will use it to prevent fraud, other unlawful or dishonest conduct, malpractice, and other seriously improper conduct. If any of these are detected, you could be refused certain services or employment. Your personal information will also be used to verify your identity. Further details of how your information will be used by us and Cifas, and your data protection rights, can be found by</i><i> [</i><i>https://www.cifas.org.uk/fpn</i><i>].</i></p><p><i>
At Ofgem, we expect our staff to carry out their roles with honesty, fairness and openness. They should follow the Civil Service code and be free from any influence or bias. We are committed to making sure interests are recognised, declared and managed appropriately so that we can fulfil our duties as an energy regulator. Our </i><i>Conflicts of Interest policy</i><i> outlines the types of interests Ofgem staff must declare before onboarding, and the rules they must follow throughout employment so that we can clearly demonstrate that our decisions are not influenced by private interests.</i></p><br>
Feedback will only be provided if you attend an interview or assessment.</div></div></div><div><h3 class="jobSectionHeader"><b>
Security</b></h3><div><div>
Successful candidates must undergo a criminal record check.</div></div><div><div>
Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check .<br>
<br>
See our vetting charter .</div></div><div><div>
People working with government assets must complete baseline personnel security standard (opens in new window) checks.</div></div></div><div><h3 class="jobSectionHeader"><b>
Nationality requirements</b></h3><div><div>
<p>This job is broadly open to the following groups:</p>
<ul><li>UK nationals</li>
<li>nationals of the Republic of Ireland</li>
<li>nationals of Commonwealth countries who have the right to work in the UK</li>
<li>nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS)</li>
<li>nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)</li>
<li>individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020</li>
<li>Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service</li>
</ul>Further information on nationality requirements
</div></div></div><div><h3 class="jobSectionHeader"><b>Working for the Civil Service</b></h3><div><div>
Please note this Post is NOT regulated by the Civil Service Commission.</div></div><div><div>
The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.</div></div><div><div>
The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.</div></div></div><div><h3 class="jobSectionHeader"><b>
Diversity and Inclusion</b></h3><div>
The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan and the Civil Service Diversity and Inclusion Strategy .</div></div><div><h2 class="jobSectionHeader"><b>
Apply and further information</b></h2></div><div><div>
This vacancy is part of the Great Place to Work for Veterans initiative.</div></div><div><div>
The Civil Service welcomes applications from people who have recently left prison or have an unspent conviction. Read more about prison leaver recruitment (opens in new window).</div></div><div><div>
Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.</div></div><div><h3 class="jobSectionHeader"><b>
Contact point for applicants</b></h3><div><h4 class="jobSectionHeader"><b>
Job contact :
</b></h4><ul><li>Name : Amber Shankland</li><li>
Email : amber.shankland@ofgem.gov.uk</li></ul><h4 class="jobSectionHeader"><b>
Recruitment team</b></h4><ul><li>
Email : recruitment@ofgem.gov.uk</li></ul></div></div><div><h3 class="jobSectionHeader"><b>
Further information</b></h3><div><div>
Appointment to the Civil Service is governed by the Civil Service Commissions Recruitment Principles. You have the right to complain if you feel there has been a breach of these Recruitment Principles.
<br>
<br>
In the first instance, you should raise the matter directly via recruitment@ofgem.gov.uk. If you are not satisfied with the response, you may bring your complaint to the Commission. For further information on bringing a complaint to the Civil Service Commission, please visit their website.</div></div></div></div></div><div></div>

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