Whitehall Resources
Data Architect - SC Cleared
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Data Architect - SC Cleared
Whitehall Resources currently require an experienced Data Architect to work with a key client.
Please note ACTIVE SC CLEARANCE is essential and this role falls INSIDE IR35
Key Responsibilities
As a Data Architect, you will take ownership of the solution design and guide delivery teams through complex technical decisions ensuring solutions are robust, governable, and deliverable into live service.
Key responsibilities include:
- Designing data architectures, including cataloguing, metadata, lineage, quality, ownership, and classification, to ensure data is trusted, discoverable, secure, and fit for purpose from source to consumption.
- Taking architectural ownership of how data is designed for consumption by both humans and autonomous agents, including analytics users, applications, and AI-driven services.
- Providing architectural direction on the safe and governed adoption of AI and agent-based capabilities within data and analytics platforms.
- Producing architectures and designs for complex end-to-end data solutions, including data storage and management, ETL/ELT, reporting, and analytics.
- Advising clients on architecture/infrastructure, platform, and engineering best practices across data warehouse/data lake solutions and modelling concepts.
- Taking ownership of client requirements, deliverables, and accountabilities, ensuring adherence to architecture governance processes, industry best practices, and alignment with the client’s architecture vision.
- Driving solution development and documentation, ensuring good architectural practices are applied throughout the lifecycle.
- Providing architectural oversight and direction on behalf of our clients, including governance at all stages.
- Building trusted-advisor relationships with clients through boldness, honesty, and credible technical leadership.
- Managing relationships with vendors, third parties, and key internal stakeholders across Capgemini.
- Owning technical problem management and resolution relevant to the solution development.
- Contributing to and actively participating in Capgemini’s Architecture practice and community.
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Skills and Experience
Essential
You bring strong, hands-on data architecture experience and the ability to lead technical delivery in complex environments. You’ll be credible with both senior client stakeholders and internal delivery leadership and comfortable making decisions that balance technical quality, risk, and delivery outcomes.
We’re looking for demonstrable experience in:
- Multiple data storage technologies used in data warehouse and data lake solutions, such as:
- Relational DBMS
- NoSQL
- Graph databases
- Cloud object storage
- DB as a service
- Architecture and design concepts for ETL/ELT solutions, using a range of tooling.
- Designing and applying data virtualisation technologies, particularly at enterprise scale.
- Architecture and design concepts for data exploitation solutions and technologies, including:
- Analytics (e.g., SAS, R)
- Reporting (e.g., Pentaho Business Analytics, Power BI)
- APIs (e.g., Java, Denodo)
- Expertise in data modelling within large, complex IT estates, implementing multiple data architectures, and integrating data management/governance tooling.
- Modern ways of working such as Agile, CI/CD, DevOps, and test automation.
- Delivery across on-premise, cloud, and hybrid environments, including cloud migration programmes.
- Setting direction and technical scope, building/leading technical teams, and managing technical deliverables.
- Strong communication, influencing, and facilitation skills, especially for troubleshooting, problem-solving, and decision-making.
- Resilience, flexibility, and ability to adapt to changing schedules and priorities. A drive to deliver results and exceed client expectations, bringing clear personal value to every engagement.
- Integrating third-party products into complex estates, managing interdependencies, and leading end-to-end delivery in multi-supplier engagements.
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Desirable
If you have any of the following, it will help you stand out:
- Experience with lakehouse deployments and modern cloud-native data platforms.
- Practical understanding of the real-world impact and usage of AI services to enhance and improve data quality, consumption, and processing.
- Experience contributing to commercial proposals, bids, or shaping technical approaches for client engagements.
- Demonstrated experience owning or operating architecture governance across a programme lifecycle, including design assurance and decision control.
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