database architect

Koch

<div>Your Job
Koch Engineered Solutions (KES) is currently looking for a Data Architect to join our global Information Technology (IT) capability. The IT capability is a vital component of the KES strategy to improve business performance through the application of technology and to profitably transform our business. Our team operates with a startup mentality-working as an integrated group with the Engineering, Operations, Commercial, and Finance teams to design, build, and scale innovative solutions that transform KES work processes.
A Data Architect engages with KES IT and business teams to design, mature, and scale enterprise-endorsed data products that power decision-making, analytics, and AI solutions across KES business units. This role translates complex business problems into well-structured, reusable data models and governed data assets that become trusted foundations for the enterprise.
You must demonstrate the ability to balance technical rigor with business acumen-connecting data modeling decisions to business outcomes, product usability, governance, and long-term scalability. The most impactful work in this role happens at the intersection of data architecture craft, domain understanding, and practical delivery of reusable data products.
A candidate who is proactive, contribution-motivated, and passionate about building data foundations, reusable patterns, and enterprise standards will be a great fit for this opportunity.
This position can be located in our Wichita, KS, Tulsa, OK, or Houston, TX office. Visa Sponsorship is not available for this position.
What You Will Do<ul><li>
Design, build, and evolve enterprise-endorsed data products using dimensional modeling or other patterns appropriate to business use cases.
</li><li>Translate complex business problems into reusable data models, domain structures, semantic layers, and governed data assets that enable analytics, reporting, and AI outcomes.
</li><li>Collaborate with other Data Architects and Analytics Leaders to define, align, and promote data modeling standards, naming conventions, documentation practices, and reusable design patterns across the KES IT Data &amp; Analytics team.
</li><li>Partner with Data Engineers, Analytics Engineers, BI Developers, Product Teams, and business stakeholders to ensure data products are usable, scalable, and aligned to business priorities.
</li><li>Facilitate alignment with stakeholders and product owners on shared business definitions, domain boundaries, metric intent, and data product expectations so endorsed data products reflect both business meaning and architectural standards.
</li><li>Mature the KES data foundation by identifying gaps in data coverage, quality, lineage, and structure, then prioritizing improvements through an iterative, product-minded approach.
</li><li>Support AI-ready data architecture by designing well-governed, well-documented data layers that enable model training, feature engineering, semantic understanding, and AI-assisted insights.
</li><li>Evaluate emerging tools, architecture patterns, and delivery practices that improve how data products are built, governed, reused, and scaled across the organization.
</li></ul>Who You Are (Basic Qualifications)<ul><li>
Experience in data modeling, including dimensional modeling or related patterns for analytics and reporting workloads.
</li><li>Experience writing and optimizing SQL against cloud data warehouses.
</li><li>Proven experience communicating data architecture and technology concepts in both execution detail and broad terms to a variety of technical and business audiences.
</li><li>Demonstrated capability partnering with customers to understand business and operating models, then translating them into coherent data models and reusable data products.
</li><li>Experience with data transformation tools for developing and managing data transformation pipelines.
</li><li>Demonstrated experience applying data modeling standards, documentation practices, and reusable design patterns in a team or enterprise environment.
</li></ul>What Will Put You Ahead<ul><li>
3+ years of experience in data modeling, including dimensional modeling or related patterns for analytics and reporting workloads.
</li><li>5+ years of experience writing and optimizing SQL against cloud data warehouses.
</li><li>Experience building data warehouse, data lake, and data engineering solutions in Snowflake.
</li><li>Experience with Microsoft Fabric for data engineering, warehousing, or analytics workloads.
</li><li>Experience with graph database technologies and relationship-oriented data modeling patterns.
</li><li>Technical experience with serverless cloud technology tools and services (AWS: S3, Glue, Redshift, Lambda, etc.)
</li><li>Exposure to data quality and observability practices
</li><li>Understanding of Master Data Management (MDM) concepts and practices.
</li><li>Experience with DevOps methodologies, processes, and tools such as CI/CD, GitHub, and Azure DevOps.
</li><li>Experience designing data architecture that supports AI, including metadata management, curated semantic layers, documentation, and governed reusable data assets.
</li><li>Bachelor's degree in computer science, Engineering, Mathematics, or a related field.
</li></ul>At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.
Hiring Philosophy
All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here .
Who We Are
As a Koch company, Koch Engineered Solutions (KES) is a dynamic network of businesses that work together to create an ecosystem of domain expertise to increase operational efficiency, improve safety, reduce waste, and reduce emissions.
At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.
Our Benefits
Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.
Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.
Equal Opportunities
Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information. (For Illinois E-Verify information click here , aqu&iacute; , or tu ). #LI-MW1</div>

Data Architect

AtkinsRéalis

<div><h2 class="jobSectionHeader">Overview</h2>
Shaping a smarter, more agile world!
AtkinsR&eacute;alis is growing its Solution Design team and is looking for Data Architects who are curious, who want to become part of our customers' digital journey and who want to have a voice in shaping our future digital world. Is this you?
We are looking to expand our multi‑disciplinary team with people from diverse backgrounds who bring data architecture expertise to the digital transformation of our stakeholders' technology landscapes and ways of working.
You may currently be a data architect, data engineer, analytics consultant, solution architect or enterprise architect seeking a new challenge. We welcome applications from creative, adaptable systems thinkers who are passionate about designing data‑centric solutions, shaping future information capabilities, and expanding your own career potential along the way.
When it comes to living your life, we want your role with AtkinsR&eacute;alis to be a key part of your personal journey. We have a collaborative inclusive team culture where people will help, guide and mentor you to help you grow. We pitch in and help colleagues because we succeed as a team. Our flexible and remote working policies are designed to support different personal priorities and needs.
This role is within the Secure Government business unit which has an excellent record in consultancy and delivery to a wide range of clients, which includes some of the largest public and private sector organisations in the UK, particularly in defence, security and government markets.
We are looking for Data Architects at various levels to enhance our team and technology solutions capability. To succeed, our customers require expert advisors who listen and advise clearly demonstrating their deep experience and mature methods.
You will be responsible for the definition of data architectures, data models, data flows, options and solutions to meet strategic business and information objectives. You will ensure these designs are robust, sustainable and fit‑for‑purpose for current and future data needs.<h2 class="jobSectionHeader">
Your role</h2>
As a Data Architect, you will be responsible for the design, development and communication of data‑centric solutions that support our clients' business strategies. Leading and/or supporting initiatives, you will introduce data visions and architectures within the wider Enterprise Architecture Framework. Your responsibilities will include:<ul><li>
Defining enterprise and solution‑level data architectures in complex, mixed‑technology environments.</li><li>
Designing conceptual, logical and physical data models that support strategic outcomes.</li><li>
Leading data discovery, profiling and requirements analysis activities.</li><li>
Developing data standards, governance models, metadata frameworks and master data strategies.</li><li>
Designing data pipelines, integrations and data flows across systems and domains.</li><li>
Balancing technology, security and business needs to deliver effective data solutions.</li><li>
Producing data architecture artefacts in line with business strategies and appropriate frameworks.</li><li>
Supporting data‑driven digital transformation and enabling modern analytical capabilities.</li></ul><h2 class="jobSectionHeader">
About you</h2><ul><li>
A degree in a science, computing or engineering subject, or equivalent experience.</li><li>
Proven experience as a Data Architect, Data Engineer, Analytics Consultant or similar role.</li><li>
Experience with data architecture frameworks and modelling techniques (e.g., DAMA, DCAM, TOGAF).</li><li>
Strong understanding of conceptual, logical and physical data modelling and associated tools (e.g., ERwin, Sparx EA, ArchiMate, UML).</li><li>
Experience designing enterprise data flows, integrations and data pipelines.</li><li>
In‑depth understanding of data management principles including data quality, metadata, master data and reference data.</li><li>
Experience gathering and analysing data and system requirements in complex environments.</li><li>
Broad understanding of modern data technology domains, including:<ul><li>
Cloud data platforms (Azure, AWS, GCP).</li><li>
Data lakes, warehouses and lakehouse architectures.</li><li>
ETL/ELT processes and tooling.</li><li>
Streaming and event‑driven architectures.</li><li>
API‑led integration and data virtualisation.</li></ul></li><li>
Understanding of data security‑by‑design, privacy, compliance and governance aligned to government and industry standards.</li><li>
Familiarity with contemporary analytical and digital services (e.g., AI/ML, BI, automation).</li><li>
Appreciation of emerging technologies such as IoT data processing, edge analytics and automation where appropriate.</li></ul>
Industry Experience<ul><li>
Experience working within Local Government, Regulated Industries, Defence or Security and Intelligence markets is beneficial.</li><li>
Appreciation and/or experience of different delivery methods such as Agile, SAFe, Scrum and their approaches such as scrums, backlogs.</li></ul>
The Individual<ul><li>
Excellent stakeholder management with focus on nurturing &amp; developing strong relationships.</li><li>
Strong consulting skills, knowledge of a variety of techniques and methods to capture, elaborate and understand client challenges (structured thinking, effective report writing and presentations, and strong stakeholder engagement).</li><li>
Good negotiation, communication and relationship building skills; able to influence business decisions and formulate positive relationships with customers, strategic partners and colleges.</li><li>
A high-level of self-initiation, organisation and enthusiasm.</li><li>
Motivated to drive the design and delivery of solutions that realise the outcomes for the client's needs.</li><li>
Excellent oral and written communication skills with the ability to influence effectively across multiple media.</li><li>
Personable team player, able to work under guidance and own initiative, adding expertise and value to project deliverables.</li><li>
Proven analytical and problem-solving skills.</li><li>
A strong interest and appreciation of technology trends and government IT strategy such as, Cloud, Internet of Things, Cyber Security, Big Data and digital service design and delivery.</li></ul><h2 class="jobSectionHeader">
Rewards &amp; benefits</h2>
Explore the rewards and benefits that help you thrive &ndash; at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life.
Be rewarded.<h2 class="jobSectionHeader">
About AtkinsR&eacute;alis</h2>
We're AtkinsR&eacute;alis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.<h2 class="jobSectionHeader"> 
Additional information</h2>
Security clearance
This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance.
We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability.
#LI-ADST | #LI-UK | #SGCampaign</div>

DMG Media

<div>Location: DMGT HQ - High Street Kensington, London 
Position: Permanent 


About the Role

We are seeking an experienced Data Architect to define and govern the data architecture across our technology estate &mdash; spanning cloud platforms (AWS and GCP), hosted data centres, and on-premises systems. This role is critical during a period of significant technology transformation: the successful candidate will map, optimise, and design data flows across a complex multi-environment estate; set and enforce data architecture standards; ensure that every project making a material change to our technology or data landscape is optimally designed and documented; and represent those standards at the Technical Design Authority (TDA). The role sits within the Architecture and Integration team and reports directly to the Enterprise Architect. 


Main Responsibilities
<ul>
<li>Data Flow Mapping &amp; Optimisation: Produce comprehensive, accurate maps of current-state data flows across the full estate &mdash; cloud (AWS, GCP), hosted data centres, and on-premises systems. Identify redundancy, latency, and quality issues in existing flows and define target-state designs that are efficient, resilient, and fit for a cloud-first future.
</li>
<li>Data Architecture Standards &amp; Governance: Define, document, and maintain data architecture standards, patterns, and principles for DMG Media. Ensure these standards are consistently applied across all projects and platforms, and act as the authoritative data architecture voice at the Technical Design Authority (TDA).
</li>
<li>Project Engagement &amp; Design Assurance: Be engaged on all projects that fundamentally change the technology or data estate &mdash; from early discovery through to delivery. Ensure that any new capability, platform, or integration is optimally designed, architecture-reviewed, and documented before build commences.
</li>
<li>Multi-Environment Architecture: Design and govern data architecture across a hybrid estate that spans AWS, GCP, hosted data centres, and legacy on-premises systems. Ensure data flows, pipelines, and platform designs work coherently across all environments, with clear ownership of cross-environment patterns and data contracts.
</li>
<li>Cloud Platform Design: Lead the data platform architecture across the cloud estate, designing scalable lakehouse patterns, real-time and batch pipeline architectures suitable for AI/ML infrastructure.</li></ul> 

Person Specification
<ul>
<li><div>Data architecture expertise across multi-environment estates: proven experience designing and governing data architectures that span cloud, hosted data centre, and on-premises environments simultaneously &mdash; not cloud-only.</div>
<div>Multi-cloud platform depth (AWS and GCP): hands-on experience with data services across one or both of AWS (Redshift, Glue, S3 / Lake Formation, MSK, RDS) and GCP (BigQuery, Dataflow, Pub/Sub, Cloud Composer).</div>
<div></div>
</li><li><div>Data flow mapping and optimisation: demonstrable experience producing current-state data flow documentation, identifying inefficiencies and risks in existing pipelines, and designing optimised target-state flows. Comfortable working at both the conceptual and technical levels.</div>
<div></div>
</li><li><div>Data architecture standards and governance: experience defining, documenting, and enforcing data architecture standards, design patterns, and principles at an enterprise level. Prior involvement in architecture governance forums (TDA, ARB, or equivalent) essential.</div>
<div></div>
</li><li><div>AI and ML platform architecture: experience designing AI/ML data infrastructure &mdash; including feature stores, model training pipelines, inference serving, and GenAI / RAG architectures grounded in proprietary content.</div>
<div></div>
</li><li><div>Lakehouse and modern data platform design: strong knowledge of open table formats (Apache Iceberg, Delta Lake), zone architecture (landing, cleansed, curated), streaming and batch pipeline patterns, and data quality frameworks.</div>
<div></div>
</li><li><div>Project engagement and design assurance: able to engage early in the project lifecycle, translate business and technical requirements into architecture decisions, and produce governance-quality documentation (HLDs, LLDs, data flow diagrams, integration designs).</div>
<div></div>
</li><li><div>Strong stakeholder management: ability to communicate clearly with both technical teams and senior non-technical stakeholders; able to translate complex data architecture concepts into measurable business outcomes and defensible design decisions.</div></li></ul> 

Required Competencies
<ul>
<li>Ability to operate across the full spectrum of architecture detail &mdash; from enterprise-level data strategy and standards through to the specifics of pipeline design and platform configuration.</li>
<li>Proactive identification of data architecture risk, technical debt, and optimisation opportunities across the estate, including existing flows.</li>
<li>Strong written and verbal communication skills, with the ability to produce clear, professional architecture documentation and present confidently at governance forums.</li>
<li>A collaborative approach to design &mdash; working with engineering, product, and editorial teams to arrive at practical, implementable architecture decisions rather than ideal-state designs that cannot be delivered.</li>
<li>Intellectual rigour and the ability to hold a considered architecture position under challenge, while remaining open to new information.</li>
<li>Awareness of data governance, data quality, and responsible AI principles, and a commitment to embedding these into architecture decisions by design rather than retrospectively.</li></ul> 


Preferred Skills
<ul>
<li>Experience in digital media, news publishing, or a high-traffic consumer internet business &mdash; familiarity with editorial workflows, CMS platforms, real-time audience analytics, and subscription platform data is highly valued.</li>
<li>Oracle database modernisation experience &mdash; assessment of RAC/Data Guard estates and migration to cloud-managed alternatives (RDS, Aurora PostgreSQL, ODB@AWS) is directly relevant to live workstreams at DMG Media.</li>
<li>Cloud migration programme experience &mdash; landing zone design, application workload assessment, and migration sequencing across a complex on-premises estate.</li>
<li>Knowledge of identity, consent management, and GDPR-compliant data architecture patterns in a consumer media context.</li>
<li>AWS Certified Data Analytics, AWS Certified Machine Learning Specialty, or GCP Professional Data Engineer / ML Engineer certification.</li>
<li>Experience with data mesh or data product thinking at enterprise scale.</li></ul> 


The Maturity of the Data Architecture across the organisation will be the primary measure of success, however more detailed performance of the role will be assessed / measured by:
<ul>
<li>Development of a Data platform road map and demonstrable execution.</li>
<li>Completeness and accuracy of current-state data flow maps across cloud, hosted, and on-premises environments, delivered within agreed timescales.</li>
<li>Adoption of data architecture standards across all new and materially changed platforms and projects &mdash; measured through TDA review outcomes.</li>
<li>Quality and timeliness of architecture documentation produced for projects engaging the role &mdash; assessed through peer review and project delivery outcomes.</li>
<li>Successful delivery of target-state data flow designs for priority programmes.</li>
<li>Effectiveness of data architecture representation at the Technical Design Authority &mdash; evidenced by decisions made, standards enforced, and risks identified at design stage.</li></ul> 


Package Description 


Our benefits package increases the longer you've been with us. Here's what to expect:
<ul>
<li>25 days' holiday (increasing by 1 per year up to a total of 30)</li>
<li>Pension plan and life cover</li>
<li>Discounts on online shopping, dining cards and vouchers, and access to our Employee Assistance Programme</li>
<li>Onsite gym, subsidised canteen and onsite nurse and GP clinics</li>
</ul>
Plus much more... 


About Us

dmg media maintains an unwavering commitment to uncovering the stories that matter most. Its brands Daily Mail, The Mail on Sunday, Metro, The i Paper, MailOnline, and Mail+reach more than 9 million people daily in the UK. 
Globally, dmg media's brands reach 160 million unique browsers every month across its domains and apps.*

Its global newsroom of journalists, formidable story-getting power, and breadth of content formats, delivers highly engaging, trusted content to loyal and new audiences, 24 hours a day, seven days a week.

The Mail brand reaches three in five Brits every month and is officially the best-read, most recognised, most engaged newsbrand in the country. It is the largest news publisher on TikTok with over 28 million total followers and nearly 45 billion views** in the past year.

www.dmgmedia.co.uk
<h5 class="jobSectionHeader">
*GA Sept 2024 **March 2024 - Feb 2025 inclusive</h5> 


Our Commitment

We are committed to increasing diversity and maintaining an inclusive workplace culture. We welcome applications from all qualified candidates regardless of their ethnicity, race, gender, religious beliefs, sexual orientation, age, marital status, or disability.

We are Disability Confident Committed. Please let us know if you require any recruitment documentation in other formats or if you require reasonable adjustments to be made during the recruitment process. Please be assured that any such information will be held separately to your recruitment application and will not be considered as part of the selection process.</div>

ATG Entertainment

<div><div><div><ul><li><h4 class="jobSectionHeader">Salary</h4>
Competitive
</li><li><h4 class="jobSectionHeader">Hours</h4>
40
</li><li><h4 class="jobSectionHeader">Type</h4>
Permanent - Full Time
</li><li><h4 class="jobSectionHeader">Closing Date</h4>
04-09-2026 at 23:59
</li><li><h4 class="jobSectionHeader">Location</h4>
ATG Entertainment
 
London
 
Greater London
 
WC2H 8AF</li><li> 
<ul><li>No Files
</li></ul></li></ul></div><div></div><div>Data Architect 
You'll report to the Head of Data, with a dotted line to the IT Director, and work closely with the Principal Data Engineer, the Data Engineering Manager, the Head of Pricing Analytics and the Data Products Manager. You'll also engage directly with commercial, marketing, and finance stakeholders, and with IT, Legal, Infosec and the wider architecture community across ATG Entertainment.
Data is at the centre of how ATG Entertainment runs its business. Our Global Data Platform (GDP), built on Snowflake, centralises ticketing, marketing, financial and operational data. It underpins how we price seats, run marketing campaigns, support our venues, and make strategic decisions across 64 venues in multiple countries.
We're looking for a Data Architect to own the data architecture behind some of our most important commercial decisions: how tickets are priced, where marketing investment goes, how demand is forecast and how shows are traded. You will define the models, definitions, keys, and data contracts those decisions depend on, so that pricing, marketing measurement, forecasting, and trading are built once and run off the same numbers.
You will work towards a single, coherent target state for commercial data: consistent models, definitions and contracts across systems and markets. You will evolve that architecture alongside live delivery, ensuring each design decision either moves ATG towards the target state or is a deliberate, documented exception with a clear path back.
You will design across markets. ATG trades in the UK, the US and Europe, and each market has its own systems, operating models, and regulatory requirements, and adopts common standards at a different pace. You will define the architecture that holds across all of them, and the integration patterns that let regional systems conform to the global model over time.
The breadth of data is wide. It covers consumer and digital data, including web and app behaviour, advertising and campaign data, CRM and customer data platform flows, identity, and customer feedback. It covers the financial data our commercial models need, including budgets, forecasts, sales, and revenue actuals, which you will architect into commercial data products while Finance remains the owner of Finance reporting. Where enterprise and operational systems hold data that explains ATG's commercial performance, such as event and venue scheduling, retail point of sale and customer service, you will support enterprise and solutions architecture on the data design, so that it can be integrated into the commercial data model to the same standard.
You will design for regulation, security, and cost from the outset. Consumer and marketing data is subject to UK and EU GDPR, PECR and US state privacy laws including California (CCPA/CPRA), so classification, consent, minimisation, retention, deletion, and cross-border transfer are design decisions rather than a final review step. You will work with Legal and Information Security to make compliance a property of the architecture.
We are building towards data that machines can use as reliably as people, starting with GenBI, where commercial users can ask questions in natural language and receive trusted answers. You will design the definitions, models, metadata and contracts that make this possible, together with the access patterns that determine what each consumer can see, at what grain, and how data may be used for recommendation or operational action.
Our Principal Data Engineer owns the technical architecture of the GDP itself and its engineering standards. You own the architecture of the data that moves through it: its models, definitions, keys, metadata and contracts, and the design of the data behind commercial decisions. This is a design, standards, and authority role with strong hands-on architecture. You will set the standard, produce the documentation others build from, review designs against it, and provide architecture assurance before engineering build begins. 
Key responsibilities
<ul><li>Own and maintain the target data architecture for ATG's commercial data, including the transition from current to target state.
</li></ul><ul><li>Define common business entities, definitions, hierarchies, and keys, so commercial products carry consistent meaning across markets and source systems.
</li></ul><ul><li>Architect the data behind pricing, revenue management, marketing measurement, forecasting and trading, including model inputs and outputs, and how decisions and outcomes are recorded and measured.
</li></ul><ul><li>Design the consumer and digital data model spanning web and app behaviour, advertising and campaign data, CRM and customer data platform flows, identity, and customer feedback, keyed so that behaviour, marketing investment, and sales can be joined.
</li></ul><ul><li>Architect the financial data commercial models need, including budgets, forecasts, sales, and revenue actuals, working with Finance and maintaining clear ownership boundaries for Finance reporting.
</li></ul><ul><li>Define and govern data contracts for integrations with the GDP and other agreed priority systems, covering ownership, fields, keys, formats, quality expectations, refresh, and change management.
</li></ul><ul><li>Design how analytics, ML models, AI services and agents access and interact with the platform, including API and MCP interfaces, permissions, grain, and the boundary between read and write-back.
</li></ul><ul><li>Embed data protection and security into the architecture, including consent, retention, minimisation, and cross-border requirements across ATG markets.
</li></ul><ul><li>Produce and maintain conceptual and logical data models, data flows, lineage, architecture decision records and reusable design patterns, documented at the level needed by both engineering teams and commercial stakeholders.
</li></ul><ul><li>Support enterprise and solutions architecture where operational or enterprise systems provide data needed for commercial decision-making, ensuring it integrates into the commercial model to the required standard.
</li></ul><ul><li>Design how each market and new system conforms to the common data standard, while making the cost implications of design options visible so choices are made commercially.
</li></ul><ul><li>Provide architecture assurance across delivery: review designs, challenge where needed, approve designs for build, and represent Data in cross-team architecture forums. 
</li></ul>Your skills, qualities, and experience 
Leadership Qualities
<ul><li>Self-directed and proactive &mdash; you identify problems, drive work forward and communicate progress without being prompted.
</li></ul><ul><li>Comfortable operating as a senior individual contributor, leading through expertise and influence rather than hierarchy.
</li></ul><ul><li>Able to set and uphold standards under delivery pressure without becoming a bottleneck.
</li></ul><ul><li>Able to influence teams and stakeholders across organisational boundaries.
</li></ul><ul><li>Able to explain architecture decisions to commercial leaders in terms of what they enable, constrain and cost.
</li></ul>Technical Expertise
<ul><li>Strong conceptual, logical, and physical data modelling, including dimensional and event-based approaches over high-volume transactional data.
</li></ul><ul><li>Modern cloud data platforms and ELT patterns, with sufficient depth in warehouse, lake and lakehouse architectures to review and challenge platform designs.
</li></ul><ul><li>Integration design across API, event, streaming and batch patterns, and the data contracts that govern them.
</li></ul><ul><li>Practical proficiency in SQL, Python, and transformation tooling such as dbt, sufficient to prototype and review what engineering teams build.
</li></ul><ul><li>AI-fluent, with practical experience of AI tooling and an understanding of machine-readable definitions, agent access patterns, and Model Context Protocol (MCP) over structured data.
</li></ul>Essential
<ul><li>Hands-on design of data for commercial decisioning, including pricing or revenue management and marketing measurement, with deep capability in at least one and strong exposure to the other.
</li></ul><ul><li>Strong data architecture in a commercial environment where data directly informs revenue and trading decisions, not just reporting.
</li></ul><ul><li>Consumer, digital and transactional data at scale, including strong web and app analytics architecture with hands-on GA4 experience, connecting customer behaviour, marketing investment, and sales outcomes.
</li></ul><ul><li>Common definitions, entities, and keys established across multiple source systems and teams, including where systems cannot fully conform.
</li></ul><ul><li>Data contract design and governance across both data-producing and data-consuming teams.
</li></ul><ul><li>Data design for ML, AI or automated decisioning, including feature and serving data patterns, point-in-time correctness, controlled access, and capture of decisions and outcomes.
</li></ul><ul><li>Privacy and security by design across more than one jurisdiction, treated as architectural constraints from the outset.
</li></ul><ul><li>Multi-market or multi-region architecture across differing systems, currencies, languages, and regulatory requirements.
</li></ul><ul><li>Architecture practice across a complex technology estate, including current and target state views, architecture decision records, and reusable design patterns, with the ability to influence teams and uphold standards across organisational boundaries. 
</li></ul>Desirable
<ul><li>Live entertainment, ticketing, travel, hospitality, retail, or another business where price, demand and inventory interact dynamically.
</li></ul><ul><li>Customer data platforms, identity resolution, consent and preference management, mobile measurement platforms, and paid, affiliate or social advertising data.
</li></ul><ul><li>Enterprise application and integration architecture alongside a data platform.
</li></ul><ul><li>Operational and venue systems, including point of sale, event and venue scheduling, and work management platforms.
</li></ul><ul><li>Experimentation, model monitoring, and feedback-loop design.
</li></ul><ul><li>Platform migration or estate consolidation.
</li></ul><ul><li>Snowflake and AWS, with exposure to model development or serving environments such as SageMaker or Snowflake Cortex. 
</li></ul>About Us 
Our values
ATG Entertainment&rsquo;s values set the tone for how we work, how we treat one another, and the culture we continue to build across the UK and the wider organisation. 
<ul><li>THRIVE doing what we love (with passion and dynamism) 
</li></ul> 
<h4 class="jobSectionHeader">Closing Date</h4>
04-09-2026 at 23:59</div></div></div>

MA'ADEN

<div><div>1. Why This Role Matters
<div>The Senior Specialist, Data Base &amp; Data Mart enables trusted, scalable, and high-performance data foundations that support analytics, reporting, AI, and business decision-making across Maaden. The role ensures enterprise data assets are structured, governed, and optimized to deliver reliable insights that improve operational and strategic outcomes.
</div><div>The role strengthens Maaden&rsquo;s Data &amp; AI ecosystem by translating complex business and analytical requirements into robust database and data mart solutions. Through technical leadership and engineering excellence, it improves data accessibility, quality, performance, and governance while ensuring enterprise standards are consistently applied.
</div><div>By providing expertise in data architecture, database optimization, and lifecycle management, the role enables data-driven transformation initiatives and ensures that enterprise data platforms remain secure, resilient, and aligned with long-term business objectives.
</div>2. What You Will Deliver Database &amp; Data Mart Architecture
<ul><li>Deliver scalable and high-performing database and data mart solutions that support enterprise analytics, reporting, and AI initiatives.
</li><li>Translate business and analytical requirements into logical and physical data models aligned with enterprise architecture standards.
</li><li>Establish reusable design patterns that improve consistency, maintainability, and long-term scalability.
</li></ul>Data Integration &amp; Solution Delivery
<ul><li>Enable reliable delivery of enterprise data through robust ETL/ELT processes, transformation logic, and data integration practices.
</li><li>Ensure solutions are deployed, tested, and transitioned into production effectively and sustainably.
</li><li>Improve delivery quality through technical reviews, architecture compliance, and engineering best practices.
</li></ul>Performance &amp; Operational Reliability
<ul><li>Optimize database and data mart performance through tuning, workload analysis, indexing, and capacity management.
</li><li>Strengthen operational resilience through effective monitoring, issue resolution, recovery planning, and preventive improvements.
</li><li>Improve platform availability and reliability while supporting growth in business and analytical demand.
</li></ul>Data Governance &amp; Security
<ul><li>Embed data quality, lineage, metadata, ownership, retention, and governance requirements within enterprise data solutions.
</li><li>Ensure data assets remain secure, auditable, and compliant with corporate policies and regulatory requirements.
</li><li>Reduce data risk through proactive assessment and remediation of control gaps and quality issues.
</li></ul>Stakeholder Engagement &amp; Delivery Excellence
<ul><li>Partner with engineering, analytics, governance, architecture, cybersecurity, and business teams to deliver prioritized data capabilities.
</li><li>Provide technical guidance that improves delivery decisions, solution quality, and stakeholder confidence.
</li><li>Communicate technical recommendations, trade-offs, and constraints in a clear and business-focused manner.
</li></ul>Continuous Improvement &amp; Capability Building
<ul><li>Drive adoption of modern database, cloud, automation, and observability practices that enhance value and efficiency.
</li><li>Strengthen engineering capability through standards, reusable assets, mentoring, and knowledge sharing.
</li><li>Improve delivery consistency and operational maturity through continuous enhancement initiatives.
</li></ul>3. What Success Looks Like
<ul><li>Enterprise databases and data marts consistently deliver reliable, accurate, and timely data for analytics and business reporting.
</li><li>Data performance, availability, and scalability improve through proactive optimization and engineering best practices.
</li><li>Data governance requirements including lineage, metadata, ownership, and quality controls are embedded across solutions.
</li><li>Production incidents and performance issues are resolved effectively with reduced recurrence.
</li><li>Stakeholders have confidence in the quality, accessibility, and reliability of enterprise data assets.
</li><li>Modern data engineering practices improve delivery efficiency, maintainability, and long-term platform sustainability.
</li></ul>4. Minimum Qualifications
<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or a related discipline.
</li><li>Master&rsquo;s degree in Data Engineering, Data Architecture, Analytics, or a related field is advantageous.
</li></ul>5. Experience
<ul><li>7&ndash;10 years of progressive experience in database development, data engineering, data warehousing, business intelligence, or related disciplines.
</li><li>Experience designing enterprise-scale data marts, dimensional models, and database solutions.
</li><li>Experience optimizing high-volume databases and resolving complex production and performance issues.
</li><li>Experience leading technical delivery across cross-functional stakeholders and technology teams.
</li></ul>6. Skills That Matter Functional Expertise
<ul><li>Database Architecture &amp; Administration
</li><li>Dimensional Data Modeling
</li><li>Data Mart &amp; Data Warehouse Design
</li><li>ETL/ELT Development
</li><li>SQL Performance Optimization
</li><li>Data Quality &amp; Governance
</li></ul>Business &amp; Delivery
<ul><li>Cloud Data Platforms
</li><li>Data Integration &amp; Orchestration
</li><li>Performance &amp; Capacity Management
</li><li>Security, Privacy &amp; Audit Controls
</li><li>Release &amp; Environment Management
</li><li>Technical Assurance &amp; Solution Delivery
</li></ul>People &amp; Collaboration
<ul><li>Stakeholder Management
</li><li>Cross-Functional Collaboration
</li><li>Technical Leadership
</li><li>Problem Solving &amp; Root Cause Analysis
</li><li>Communication &amp; Knowledge Sharing
</li><li>Mentoring &amp; Coaching</li></ul></div></div>

Senior Specialist, Data Base & Data Mart

Confidential

<div>
 
 We're excited to be partnering with a leading institution in the UAE that is building a digital-first, AI-enabled financial services organisation from the ground up. This is a unique opportunity to join at an early stage and help shape the technology, data, and AI foundations of a business with significant institutional backing and long-term ambition. If you're passionate about data architecture, AI-ready platforms, and creating enterprise-wide data strategies, we'd love to hear from you.
 
 
 As Data Architect, you will be responsible for defining the bank's data strategy, target-state architecture, data products, and AI-ready data ecosystem. Working closely with Data Engineering, Data Governance, AI Engineering, Enterprise Architecture, and business stakeholders, you'll help establish the trusted data foundation that powers analytics, AI, regulatory reporting, and ecosystem-wide data sharing from day one.
 
 
 
 
 
 
 Responsibilities
 
 
 
 &bull; Define and maintain the bank's enterprise data strategy, target-state architecture, and data models across all business domains.
 
 
 &bull; Design AI-ready data foundations, including feature pipelines, vector-ready architectures, semantic layers, and end-to-end lineage.
 
 
 &bull; Establish the bank's data product architecture, operating model, data contracts, and interoperability standards.
 
 
 &bull; Design data-sharing architectures and ecosystem exchange patterns across internal and external stakeholders.
 
 
 &bull; Define metadata, semantic, ontology, and master data management frameworks across the organisation.
 
 
 &bull; Provide architecture leadership, challenge vendor designs, and ensure the target architecture is adopted across delivery teams.
 
 
 
 
 
 
 Requirements
 
 
 
 &bull; 10+ years of experience in Data Architecture within banking, financial services, or another highly regulated environment.
 
 
 &bull; Proven experience designing enterprise data platforms that support AI, machine learning, and analytics workloads.
 
 
 &bull; Strong expertise in cloud-based data architectures, lakehouse platforms, streaming architectures, and governed data services.
 
 
 &bull; Experience defining data products, semantic models, metadata architectures, and enterprise data standards.
 
 
 &bull; Strong knowledge of banking regulatory requirements including BCBS 239, data governance, and data protection frameworks.
 
 
 &bull; Experience designing ecosystem-wide data-sharing capabilities, Open Finance architectures, or enterprise-scale integration models.
 
 
 
 
 
 Ready to join us? Apply today and take the next step in your career.
 
</div>

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