cloud data architect

Capgemini

<div><div><div><div>About the Job you are considering:
We are seeking an experienced Cloud &amp; Data Architecture Consultant to lead enterprise-scale cloud, data, and finance transformation initiatives. The ideal candidate will possess deep expertise in Google Cloud Platform (GCP) architecture, Oracle Integration Cloud (OIC), Enterprise Performance Management (EPM) strategy and tooling, and Databricks-based data platforms. This role will be responsible for defining target-state architectures, assessing and recommending EPM solutions, designing scalable integration frameworks, and enabling cloud-native data modernization programs. The consultant will work closely with business and technology stakeholders to drive architecture governance, solution design, and successful transformation outcomes.
Hybrid working:
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
Your Role:
<ul><li>Define and drive enterprise-wide target-state architecture for cloud, data, and finance transformation programs.</li>
<li>Design scalable, secure, and high-performing GCP-based architecture solutions aligned with business and technology objectives.</li>
<li>Assess existing finance and performance management landscapes and provide EPM tooling recommendations based on business requirements, scalability, and future-state strategy.</li>
<li>Architect and govern Oracle Integration Cloud (OIC) solutions for seamless integration across Oracle and third-party applications.</li>
<li>Design and implement Databricks-based modern data platforms supporting analytics, reporting, and AI/ML use cases.</li>
<li>Develop enterprise data architecture standards, data models, and integration patterns to ensure consistency and scalability.</li>
<li>Lead cloud migration and modernization initiatives, including workload assessment, architecture planning, and execution oversight.</li>
<li>Collaborate with finance, business, and technology leadership teams to align architecture decisions with transformation goals.</li>
<li>Establish and enforce architecture governance, best practices, security standards, and design principles.</li>
<li>Conduct architecture reviews, solution assessments, and technical due diligence for new initiatives.</li>
<li>Provide strategic guidance on data management, integration, cloud adoption, and enterprise application modernization.</li>
<li>Facilitate stakeholder workshops, architecture discussions, and executive-level presentations.</li>
<li>Mentor project teams and support delivery organizations in implementing approved architecture solutions</li>
</ul>Your Skills:
<ul><li>Strong expertise in Google Cloud Platform (GCP) Architecture, including cloud-native design patterns and modernization strategies.</li>
<li>Hands-on experience with Oracle Integration Cloud (OIC) and enterprise integration architecture.</li>
<li>Experience evaluating, selecting, and implementing Enterprise Performance Management (EPM) solutions.</li>
<li>Strong knowledge of Databricks, data lakehouse architecture, and modern data engineering principles.</li>
<li>Expertise in Enterprise Data Architecture, data modeling, data governance, and data integration frameworks.</li>
<li>Experience in Cloud Migration, application modernization, and hybrid cloud architectures.</li>
<li>Strong understanding of solution architecture methodologies, security, scalability, and performance optimization.</li>
<li>Familiarity with data warehousing, analytics, reporting, and business intelligence ecosystems</li>
<li>Experience delivering Finance Transformation and enterprise data transformation programs.</li>
<li>Strong understanding of financial planning, forecasting, budgeting, and performance management processes.</li>
<li>Ability to translate business requirements into scalable technology solutions.</li>
<li>Excellent stakeholder management and executive communication skills.</li>
<li>Strong consulting, problem-solving, and analytical capabilities.</li>
<li>Proven experience leading architecture workshops and influencing senior business and technology stakeholders.</li>
<li>Ability to work across cross-functional and distributed teams in a fast-paced environment.</li>
<li>Strong governance, decision-making, and strategic planning skills.</li>
<li>Experience in large-scale enterprise transformation programs.</li>
<li>GCP, Oracle, Databricks, or relevant cloud certifications.</li>
<li>Experience working in consulting environments or leading enterprise architecture engagements.</li>
<li>Familiarity with finance systems, ERP platforms, and performance management ecosystems.</li>
</ul>'We are a Disability Confident Employer:
Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government&rsquo;s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:
<ul><li>Declare they have a disability, and</li>
<li>Meet the minimum essential criteria for the role.</li>
</ul>Please opt in during the application process.
Make It Real (what does it mean for you):
<ul><li>You&rsquo;d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.
 
To help support wellbeing we have trained &lsquo;Mental Health Champions&rsquo; across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.</li>
<li>You will be empowered to explore, innovate, and progress. You will benefit from Capgemini&rsquo;s &lsquo;learning for life&rsquo; mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.</li>
<li>You will be joining one of the World&rsquo;s Most Ethical Companies&reg;, as recognised by Ethisphere&reg; for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.</li>
</ul>Why you should consider Capgemini:
Growing clients&rsquo; businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you&rsquo;ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what&rsquo;s possible. It&rsquo;s why, together, we seek out opportunities that will transform the world&rsquo;s leading businesses, and it&rsquo;s how you&rsquo;ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you&rsquo;ll build the skills you want. You&rsquo;ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.
About Capgemini:
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of &euro;22.1 billion.
 
Make it real | www.capgemini.com</div></div></div></div><div></div>

Cloud & Data Architect

Cognizant

Solution Architect – Data & AI
 Job Summary
 We are seeking an accomplished Data Solution Architect to join our banking technology team. This role offers a unique opportunity to define and shape data architecture strategy for large-scale, data-driven transformation programmes within a complex financial services environment.
 You will bring deep expertise in designing and delivering cloud-based data platforms, combined with strong knowledge of banking data domains. As a senior leader, you will engage with C-suite stakeholders, drive data modernisation initiatives, and ensure that enterprise data solutions are scalable, secure, and aligned with regulatory standards.
 Key Responsibilities
 Lead end-to-end solution architecture for data-centric programmes, from data ingestion and storage through to consumption, analytics, and reporting
 Define and govern enterprise-wide data architecture standards, patterns, and reference models
 Design scalable and resilient data platforms supporting both batch and real-time processing, including data lakes, data warehouses, and lakehouse architectures
 Architect and deliver cloud-native and hybrid data solutions across Azure, AWS, or GCP
 Apply deep banking domain expertise to architect solutions across core banking, risk, finance, regulatory reporting, and customer data domains
 Engage with senior business and technology stakeholders to shape data strategy and translate it into actionable architecture roadmaps
 Contribute to data governance forums and ensure alignment with regulatory and compliance requirements
 Mentor and guide solution architects and technical leads across delivery teams
 Essential Skills
 Extensive experience within banking or financial services (retail, corporate, investment, or transaction banking)
 Extensive expertise in data architecture, including data modelling, data pipelines, data platforms, governance, and data quality
 Strong experience delivering large-scale, data-centric transformation programmes
 Strong hands-on experience architecting solutions on major cloud platforms such as Azure, AWS, or GCP
 Nice to Have Skills
 Good exposure to AI/ML platforms, with familiarity in Generative AI use cases
 Relevant professional certifications (e.g., AWS/GCP/Azure Data Engineer, TOGAF, Databricks Certified Data Engineer, CDMP)
 Strong collaboration, adaptability, and entrepreneurial mindset
 Familiarity with data mesh architectures and domain-oriented data ownership models
 Qualifications
 Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field
 Professional certifications in cloud, architecture, or data management are advantageous
 What We Offer
 Competitive salary
 Technology-driven organization
 Open team spirit
 International environment
 Contact the Recruiter
 Megha Nagpal
 Email: Megha.Nagpal3@cognizant.com
 Phone: +31 6 2715 5643

Solution Architect - Data & AI

Zensar Technologies

<div>Job Title: Senior Principal Data Architect
Role Summary (Executive View):
Lead enterprise-scale data architecture, governance, and delivery oversight across cloud and AI-enabled ecosystems, driving modern data platforms, MDM excellence, and business-aligned outcomes.
Key Responsibilities:
<ul><li>Own end-to-end Data Architecture strategy across enterprise platforms (Cloud, On-prem, Hybrid).
</li><li>Drive Delivery Governance ensuring quality, timelines, financials, and stakeholder alignment.
</li><li>Establish and operationalize Data Governance frameworks (data quality, lineage, catalog, compliance).
</li><li>Lead and enhance Informatica MDM (multi-domain) implementations, upgrades, and optimization.
</li><li>Architect Cloud Data Platforms (Azure/GCP/AWS) leveraging modern data stack (Data Lakehouse, ETL/ELT, streaming).
</li><li>Enable AI/GenAI adoption by designing data foundations for ML, analytics, and intelligent automation.
</li><li>Partner with business and IT leadership to translate data strategy into execution roadmaps .
</li><li>Define and enforce architecture standards, best practices, and reusable accelerators .
</li><li>Mentor teams and influence large-scale data transformation programs .
</li></ul>Must-Have Skills &amp; Experience:
<ul><li>15+ years in Data Engineering / Data Architecture / Data Platforms
</li><li>Strong expertise in:
<ul><li>Informatica ETL, MDM (Multidomain / Customer 360 / Data Governance tools)
</li><li>Cloud Architecture (Azure, GCP, AWS &ndash; data services stack)
</li><li>Data Governance tools &amp; framework implementation
</li><li>Enterprise Data Modeling (Canonical, Dimensional, Data Vault)
</li></ul></li><li>Proven track record in Delivery Governance &amp; large program leadership
</li><li>Experience in AI/ML data readiness, GenAI ecosystem exposure
</li><li>Strong hands-on with:
<ul><li>ETL/ELT tools (ADF, Informatica, Databricks)
</li><li>Data Lakes / Lakehouse architectures
</li><li>SQL, Big Data technologies
</li></ul></li><li>Domain experience in BFSI / Insurance preferred
</li></ul>Leadership &amp; Behavioral Expectations:
<ul><li>Executive stakeholder management (CXO-level interactions)
</li><li>Strong ownership of P&amp;L, delivery excellence, and risk management
</li><li>Ability to drive innovation, accelerators, and reusable frameworks
</li><li>High focus on quality, governance, and scalable design
</li></ul>Nice to Have:
<ul><li>Experience in MDM modernization / migration programs
</li><li>Exposure to data privacy regulations (GDPR, etc.)
</li><li>Certification in Cloud / Data Architecture frameworks
</li></ul>Outcome Expectation (Success Metrics):
<ul><li>Robust, scalable enterprise data architecture in place
</li><li>Improved data quality, governance maturity, and MDM adoption
</li><li>Successful delivery of complex data programs with high stakeholder satisfaction
</li><li>Increased AI/analytics enablement through strong data foundations</li></ul></div>

DE&A - Core - Advanced Data Engineering - Advanced Data Engineering (Other)

Raytheon

<div>Date Posted:
2026-06-10
Country:
United Kingdom
Location:
Warminster, Wiltshire
Position Role Type:
Hybrid
Job Title: Data Architect<div><div><div><div><div><div><div><div><div>
Function: Engineering
Duration: Permanent
Hours: Full Time (37 hours per week)
Location(s): Warminster</div></div></div></div></div></div></div></div></div>
Security Clearance: Must be eligible to obtain or currently hold an SC Clearance
The role: 
This is more than a job &mdash; it&rsquo;s a mission. 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.
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.
Key Responsibilities:<ul><li>
Design our scalable, secure and cost-effective cloud hybrid data solution aligned with Omnia enterprise architecture and Army training objectives.</li><li>
Design innovative data models and metadata systems to interpret and enhance business needs, promoting data as a strategic asset.</li><li>
Develop transitional data architectures and road maps in alignment with Omnia digital transformation objectives, enabling the evolution of integrated training solutions.</li><li>
Collaborate with cross-functional teams and partners to ensure data architectural integrity and alignment.</li><li>
Translate complex technical concepts for a non-technical audience, fostering understanding and buy-in from stakeholders.</li><li>
Support horizon scanning to identify and assess emerging technologies and determine their potential impact on leveraging data analytics to improve training delivery.</li><li>
Membership and contribution to the Omnia Architecture Board(s) to review, define, refine and uphold data architectural principles, policies, and standards across Omnia Training.</li><li>
Work with engineering teams to support and guide the implementation of a variety of solutions across multiple domains, in an agile environment.</li><li>
Manage and lead prototyping and research activity as required to realise the best solutions.</li><li>
Provide oversight and advice to engineers undertaking the design of data models and support the management of data dictionaries.</li><li>
Ensure the security and compliance of data environments through the implementation of appropriate architecture principles, security controls and governance frameworks.</li><li>
Author, review and contribute to technical documentation.</li><li>
Produce High- and low-level design artifacts for data storage, processing, and retrieval systems.</li><li>
Stay current with data technologies, making recommendations for use based on business value. Drive the adoption of these technologies.</li><li>
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.</li></ul>
Who we are looking for:
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.
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.
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.
Essential Skills and Experience:<ul><li>
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.</li><li>
Experience designing and supporting implementation of large-scale data pipelines, data warehousing and Lakehouse technologies.</li><li>
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.</li><li>
Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop).</li><li>
Experience with API management and gateway tools and services.</li><li>
Experience of RESTful APIs for ingesting and exposing data.</li><li>
Proven track record with data governance, quality, lineage, and security practices.</li><li>
Experience with real-time/streaming data technologies, data Ingestion / ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub).</li><li>
Experience in, or knowledge of, DevSecOps Tooling and Processes.</li><li>
Self-starter with the ability to appropriately prioritise and plan complex work in a rapidly changing environment.</li><li>
Strong critical thinker with problem solving aptitude.</li><li>
A working knowledge of MoD or Government IT Security environments and requirements at various classifications.</li><li>
Holder of current SC clearance, or the ability to gain it.</li></ul>
Desirable Skills and Experience:<ul><li>
Hands-on experience with containerisation and orchestration (Docker, Kubernetes, Red Hat OpenShift).</li><li>
Exposure to infrastructure-as-code tools (Terraform, CloudFormation).</li><li>
Experience with BI/visualisation tools (e.g., Tableau, Power BI, Looker, Elastic Stack).</li><li>
Knowledge of compliance frameworks (GDPR, HIPAA, CCPA) and their impact on data systems.</li><li>
Relevant Data and Architecture certification such as TOGAF, MODAF, AWS/Azure Certified Data Architect or Solutions Architect, DAMA Certified Data Management Professional (CDMP</li></ul>
What we offer:<ul><li>
Competitive salaries.</li><li>
25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr)</li><li>
Contributory Pension Scheme (up to 10.5% company contribution)</li><li>
Company bonus scheme (discretionary).</li><li>
6 times salary &lsquo;Life Assurance&rsquo; with pension.</li><li>
Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others.</li><li>
Enhanced sick pay.</li><li>
Enhanced family friendly policies including enhanced maternity, paternity &amp; shared parental leave</li></ul>
Work Culture:<ul><li>
37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements.</li><li>
Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role.</li><li>
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.</li></ul>
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.
RTX
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.
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.
#LI-AS3
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.
Privacy Policy and Terms:</div>

Data Architect

Deutsche Börse Group

<div>
 Your career at Deutsche B&ouml;rse Group
 
 Your area of work:
 
 
 
 As a Data Architect at Clearstream Securities Services, you will play a key role in driving our digital transformation by shaping the data architecture that underpins strategic initiatives such as Data &amp; AI, the D7 digital securities platform, the modernization of our Digital CSD, and our cloud adoption journey. Your work will ensure that Clearstream&rsquo;s data ecosystem is secure, scalable, and future-ready, enabling advanced analytics, regulatory compliance, and innovative services for global financial markets. By defining enterprise standards and collaborating across domains, you will help position Clearstream as a leader in digital finance and data excellence.
 
 
 
 Your responsibilities:
 
 
 
 
 <ul>
 <li>
 Define the target-state cloud data architecture (Lakehouse) across BI, analytics, and ML&mdash;including reference architectures, patterns, and guardrails.
 </li>
 <li>
 Lead domain-driven and Data Mesh architecture: curate federated data product standards, contracts, and interoperability guidelines.
 </li>
 <li>
 Establish architecture decision records (ADRs) and technology roadmaps (near/mid/long term), aligning with enterprise data strategy and regulatory requirements.
 </li>
 <li>
 Act as a trusted advisor to data scientists, analysts, and business product teams; unlock self-service patterns and reuse.
 </li>
 <li>
 Lead onboarding, training, and enablement programs to scale platform and catalog adoption; raise data literacy across domains.
 </li>
 <li>
 Mentor engineers and stewards; foster a culture of automation, reliability, and measurable outcomes.
 </li>
 <li>
 Guide the design and configuration of Atlan workspaces, clusters, compute policies, and libraries; ensure high availability, scalability, and cost efficiency.
 </li>
 <li>
 Own enterprise metadata strategy&mdash;ingestion, enrichment, and stewardship&mdash;leveraging Atlan (or equivalent) for catalog, lineage, glossary, and data contracts.
 </li>
 <li>
 Define data quality frameworks (profiling, rules, SLAs, monitoring) using solutions like Soda/Great Expectations; embed DQ controls into pipelines.
 </li>
 <li>
 Establish critical data element (CDE) standards, certification workflows, and KPIs; publish management reporting on catalog adoption and DQ outcomes.
 
 
 
 </li>
 </ul>
 
 Your profile:
 
 
 
 
 <ul>
 <li>
 8&ndash;12+ years in data architecture/engineering within cloud big data platforms (GCP preferred), including enterprise and regulated environments.
 </li>
 <li>
 Proven leadership in Databricks/Spark, Lakehouse architectures, and operationalizing Unity Catalog at scale.
 </li>
 <li>
 Hands-on track record with metadata/catalog platforms (Atlan/Collibra) and data quality frameworks (Soda/Great Expectations), including enterprise rollout and adoption.
 </li>
 <li>
 Demonstrated success aligning IT, business, compliance, and security to implement governed, high-quality data solutions.
 </li>
 <li>
 Deep understanding of data modeling, data contracts, DQ SLAs, lineage, privacy/security, and observability (e.g., Azure Monitor/Datadog).
 </li>
 <li>
 Working knowledge of ML lifecycle (MLflow, feature stores) and semantic/metrics layers for analytics products.
 </li>
 <li>
 Executive-level communication, stakeholder engagement, and influence; comfortable with board-level reporting and audit dialogue.
 </li>
 <li>
 Strong facilitator and coach; able to drive consensus across diverse technical and business teams.
 </li>
 <li>
 Fluent in English; additional language skills are a plus.
 </li>
 <li>
 Certifications (preferred)
 </li>
 <li>
 Azure Data Engineer/Architect; Databricks Data Engineer Professional/Architect; TOGAF; CDMP (DAMA); Security/Compliance certifications are advantageous.
 
 </li>
 </ul>
</div>

Senior Data Architect (f/m/d)

Stellantis

<div>Build the Future of Connected Vehicle Data at Stellantis

Stellantis is transforming the future of mobility through connected vehicles, advanced
analytics, artificial intelligence, and data-driven products. Our AI &amp; Data Analytics team
develops scalable platforms and innovative data solutions that power some of the world's
most recognized automotive brands.

We are seeking a Senior Data Solutions Architect to lead the design and implementation of
enterprise-scale data products and platforms. This role combines technical leadership,
architecture, cloud engineering, and stakeholder collaboration to deliver secure, scalable,
and high-performance data solutions that support both internal software products and
external customer offerings.

If you are passionate about cloud architecture, big data technologies, real-time data
processing, and building modern data platforms from the ground up, we'd like to hear from
you.

About the Role

As a Senior Data Solutions Architect, you will serve as a technical leader responsible for
defining architecture, driving technology decisions, and building scalable data services
that support Stellantis' connected vehicle ecosystem.

You will be a partner with engineering, product, analytics, and business teams to develop
modern cloud-based data platforms, establish engineering best practices, and ensure
data quality across the organization.

This role requires expertise in data architecture, cloud technologies, and distributed
processing systems, real-time data pipelines, and large-scale data engineering.

What You'll Do

Data Architecture &amp; Solution Design
<ul>
<li>Lead the architecture and technical design of enterprise data solutions for internal</li>
<li>platforms and customer-facing products.</li>
<li>Design and implement secure, scalable, resilient, and high-performance data</li>
<li>services using modern cloud and Big Data technologies.</li>
<li>Define architecture standards and engineering best practices for data platforms</li>
<li>and analytics solutions.</li>
<li>Evaluate technology options and make architecture decisions that align with</li>
<li>business and technical objectives.</li>
</ul>
Cloud &amp; Big Data Engineering
<ul>
<li>Design and implement distributed data processing solutions using cloud-native
</li><li>technologies.</li>
<li>Build scalable data pipelines for ingestion, transformation, validation, and delivery
</li><li>of connected vehicle data.</li>
<li>Develop real-time and batch processing architectures that support growing
</li><li>business needs.</li>
<li>Ensure data platforms meet performance, reliability, scalability, and security
</li><li>requirements.</li>
</ul>
Technical Leadership
<ul>
<li>Provide technical direction across multiple engineering teams.</li>
<li>Influence architectural decisions and drive alignment across cross-functional organizations.</li>
<li>Lead implementation efforts from concept through production deployment.</li>
<li>Mentor and support engineers and technical team members to help grow organizational capabilities.</li>
</ul>
Data Quality &amp; Operational Excellence
<ul>
<li>Establish and maintain data quality standards, validation processes, and
</li><li>monitoring frameworks.</li>
<li>Lead efforts to standardize instrumentation, observability, and operational
</li><li>readiness across software platforms.</li>
<li>Develop comprehensive documentation, runbooks, and troubleshooting
</li><li>processes.</li>
<li>Drive continuous improvement initiatives across data engineering and platform operations.</li>
</ul>
Stakeholder Collaboration
<ul>
<li>Partner with product, engineering, analytics, and business teams to understand
</li><li>complex requirements and deliver effective solutions.</li>
<li>Build strong relationships with upstream and downstream stakeholders to ensure
</li><li>successful delivery of data products.</li>
<li>Translate technical concepts into clear business outcomes and recommendations.</li>
</ul>
Requirements:
Required Qualifications

Education
<ul>
<li>Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline.</li>
</ul>
Experience
<ul>
<li>5+ years of experience in data engineering, software development, or data platform architecture.</li>
<li>4+ years of hands-on experience building and maintaining production-grade data applications.</li>
<li>4+ years of experience working with AWS cloud services in production environments.</li>
<li>Experience designing and implementing enterprise-scale data solutions and platforms.</li>
</ul>
Technical Skills

Data Architecture &amp; Engineering
<ul><li>Data architecture and data modeling</li>
<li>Relational and columnar database technologies</li>
<li>Operational data stores</li>
<li>Master data management</li>
<li>ETL and ELT design, implementation, and optimization</li>
<li>Data quality management and validation frameworks</li>
</ul>
Cloud &amp; Big Data Technologies
<ul>
<li>AWS cloud services</li>
<li>Apache Spark</li>
<li>Distributed data processing platforms</li>
</ul>
Programming Languages
<ul>
<li>Python</li>
<li>Java</li>
</ul>
Streaming &amp; Real-Time Data
<ul>
<li>Notification Event Bus</li>
<li>Kinesis</li>
<li>SNS (Simply Notification Service)</li>
<li>SQS (Simple Queue Service)</li>
<li>MQ (Message Queue)</li>
</ul>
Data Orchestration &amp; Workflow Management
<ul>
<li>Apache Airflow</li>
<li>Azure Data Factory</li>
<li>Workflow orchestration platforms</li>
</ul>
API &amp; Platform Development
<ul>
<li>API design and development</li>
<li>Data service architecture</li>
<li>Integration patterns and distributed systems</li>
</ul>
Leadership Skills
<ul>
<li>Experience leading cross-functional technical initiatives.</li>
<li>Ability to architect solutions from concept through implementation.</li>
<li>Strong communication skills with the ability to translate complex technical concepts into business-focused solutions.</li>
<li>Experience mentoring and guiding engineering teams.</li>
</ul>
Preferred Qualifications
<ul>
<li>AWS certification or equivalent cloud certification.</li>
<li>Experience with Databricks and Databricks notebook workflows.</li>
<li>Experience with Infrastructure as Code (IaC) tools such as Terraform.</li>
<li>Experience supporting enterprise analytics, machine learning, or AI-driven platforms.</li>
<li>Experience working with connected vehicle, IoT, or large-scale telemetry data</li></ul></div>

Senior Data Solutions Architect (AWS, Big Data, Data Engineering)

FalconSmartIT

<div>Job Title: Data Architect
Job Location: London, UK
Job Type: Permanent/ Contract 
 
 
Note on Snowflake
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.
Data Architect
CAGM Engineering Project Compass
Accounts (RTL) Payments Engine FX Enterprise Data Platform 
 
About the Role
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.
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 .
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.
Key Responsibilities
Data Architecture &amp; Strategy
<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>Snowflake &amp; Data Warehouse
<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>Application Database Architecture
<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>Data Governance &amp; Quality
<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>AI, Analytics &amp; Data Products
<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>Collaboration &amp; Leadership
<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>Core Technical Skills
Data Warehouse
Snowflake schema design, Snowpipe, Streams &amp; Tasks, Snowpark, dynamic data masking, cost governance
Transformation
dbt (data build tool) modelling layers, testing, documentation, incremental strategies
Application Databases
PostgreSQL, Oracle, Redis, MongoDB, TimescaleDB / InfluxDB schema design, indexing, replication
Data Integration
CDC (Debezium / Kafka Connect), ETL/ELT pipelines, NATS event feeds, AWS Glue, Apache Spark
Cloud Platform
AWS S3, RDS, Aurora, Redshift (migration context), Glue, Lake Formation, IAM, VPC
Data Governance
Data lineage, cataloguing (Apache Atlas / Collibra / Snowflake Horizon), GDPR, BCBS 239, MDM
Architecture Practice
ERDs, data flow diagrams, data contracts, ADRs, C4 modelling, domain-driven data design
AI / ML Data
Feature stores, ML pipeline data design, Snowflake Cortex AI, vector stores, LLM data patterns
Query &amp; Performance
SQL optimisation, clustering keys, partitioning, query profiling, cost-based tuning
CAGM Data Landscape
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:
Platform / Store
Primary Use in CAGM
Key Architecture Concerns
Snowflake
Enterprise data warehouse, analytics, reporting, data sharing
Layer design, ingestion patterns, security, cost governance
PostgreSQL
Transactional data ledger entries, client records, audit
Schema design, CDC, replication lag, index strategy
Oracle DB
Legacy core banking integration, reference data
Migration strategy, data contracts, schema versioning
Redis
Real-time caches FX rates, limit state, session data
Cache invalidation, persistence strategy, data consistency
MongoDB
Document stores client profiles, trade enrichment data
Schema evolution, aggregation pipelines, CDC integration
TimescaleDB
Time-series market data ticks, position history
Hypertable design, retention policies, compression
NATS JetStream
Event streaming payments, ledger events, FX confirmations
Event schema contracts, consumer group design, replay strategy
AWS S3 / Glue
Data lake staging, archival, batch ingestion into Snowflake
Partitioning, file format (Parquet/ORC), Lake Formation governance
Finance Domain Knowledge
Candidates should have hands-on data architecture experience in one or more of the following financial services domains:
Domain
Key Data Concepts
Real-Time Ledger
Double-entry accounting data models, event-sourced ledgers, real-time balance aggregation, reconciliation datasets
Payments Engine
Payment message data (ISO 20022 / SWIFT), settlement instructions, payment status lifecycle, fee and charge data
Foreign Exchange
Trade data models, rate feeds and time-series storage, position keeping, P&amp;L attribution data
Limit Management
Exposure data models, limit hierarchy, breach event data, real-time risk aggregation feeds
Client Onboarding
Client master data, KYC / AML data structures, account hierarchy, regulatory reporting feeds
Regulatory Reporting
BCBS 239 data lineage, EMIR / MiFID trade reporting data, data quality SLAs for regulatory submissions
Experience &amp; Profile
<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>

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