Data Architect

Job Description

Your new company

You will be working for a well-known organisation who are based in Telford. The requirement will be to be on-site 2 days a week. This role is a 6-month contract and inside IR35. SC clearance will be required for this role.

Your new role Description Capgemini is expanding its architecture capability for one of our largest UK Public Sector clients. In this role, you will help to shape and deliver data and analytics solutions that directly support client priorities: improving efficiency, maximising revenues, reducing fraud and responding rapidly to policy challenges.

We are looking for Data Architects with a specialism in data-related technologies who can operate across the full data lifecycle and design enterprise-level data architecture for complex programmes. These include cloud migrations, data management, data virtualisation, lakehouse deployments and the creation of modern data pipelines. You'll put client requirements and industry best practice at the heart of delivery to help build world-class solutions that move from design into live service safely and successfully.

Our Data Architects act as technical leaders from the outset. They own end-to-end solution design through delivery and implementation into live operation. The successful candidate will often support the development of commercial proposals and provide technical solution governance throughout the lifecycle.

• 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.

• Multiple data storage technologies used in data warehouse and data lake solutions, such as:
  • Relational DBMS
  • No
    
    SQL
  • 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, Dev Ops 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.

• Experience with lakehouse deployments and modern cloud- 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…