Job Title: Data Architect
Location: London
About the Job you are considering:
A highly experienced Data Architect with an AI-First mindset to lead the design and evolution of enterprise-scale data platforms, architectures, and transformation programmes. This role requires deep expertise across Data Architecture, Data Modelling, Data Migration, Data Integration, Data Governance, Cloud Data Platforms, AI Enablement, and Enterprise Transformation, with particular focus on the Microsoft Data & AI ecosystem (Azure, Microsoft Fabric, Synapse, Purview, Databricks, Power BI and AI services
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.
Key Responsibilities
AI-First Data Architecture
- Define and own enterprise data architecture strategy aligned to AI, analytics, automation and business transformation objectives.
- Design AI-ready data platforms supporting GenAI, Copilot, ML and advanced analytics use cases.
- Establish architectural principles, patterns and standards enabling scalable, secure and governed AI solutions.
- Develop target-state architectures focused on data democratization, reusable data products and intelligent automation.
Enterprise Data Architecture
- Create conceptual, logical and physical data architectures covering operational, analytical and AI workloads.
- Define enterprise data models, canonical models and information architecture standards.
- Design data domains, data products and data ecosystems aligned to Data Mesh and modern data platform principles.
- Ensure architectures support agility, scalability, resilience and regulatory compliance.
Data Modelling & Information Management
- Lead enterprise data modelling initiatives including:
- Conceptual Data Models
- Logical Data Models
- Physical Data Models
- Dimensional Models
- Master Data Models
- Reference Data Models
- Define metadata, lineage and data quality frameworks.
- Drive consistency and reuse across business domains.
Data Migration & Modernisation
- Lead large-scale data migration and platform transformation programmes.
- Define migration strategies, cutover approaches and reconciliation frameworks.
- Support legacy platform decommissioning and cloud modernization initiatives.
- Ensure data quality, integrity and auditability throughout migration lifecycle.
Data Ingestion & Integration
- Design scalable batch, streaming and real-time ingestion architectures.
- Define enterprise integration patterns using APIs, events, messaging and CDC mechanisms.
- Establish reusable ingestion frameworks and data pipeline standards.
- Support integration across internal systems, SaaS platforms and external data providers.
Microsoft Data Platform Leadership
Provide architecture leadership across:
- Microsoft Azure Data Platform
- Microsoft Fabric
- Azure Synapse Analytics
- Azure Data Factory
- Azure Databricks
- Azure Data Lake
- Azure SQL
- Azure Event Hub
- Azure Stream Analytics
- Microsoft Purview
- Power BI
- Azure AI Services
- Azure OpenAI
- Microsoft Copilot ecosystem
Lead architecture decisions around platform selection, scalability, security, governance and operational excellence.
Business Transformation & Discovery
- Support business case development and investment justification.
- Lead discovery, assessment and current-state analysis engagements.
- Facilitate business and technology workshops with senior stakeholders.
- Define strategic roadmaps, transition states and implementation plans.
- Translate business objectives into tangible data and AI capabilities.
Data Governance & Regulatory Compliance
- Define governance operating models and data ownership frameworks.
- Implement enterprise-wide policies for:
- Data Quality
- Metadata Management
- Lineage
- Privacy
- Security
- Retention
- Regulatory Compliance
- Ensure alignment to GDPR and Financial Services regulatory requirements.
Leadership & Stakeholder Management
- Act as trusted advisor to CIO, CTO, CDO and senior business stakeholders.
- Lead multidisciplinary architecture, engineering and delivery teams.
- Influence strategic decision making across programmes and portfolios.
- Mentor architects, engineers and analysts.
Essential Skills & Experience
Experience
- 15+ years in Data Architecture and Enterprise Data Management.
- Proven experience delivering enterprise-scale transformation programmes.
- Strong track record in discovery, business case development and strategic consulting.
- Experience working within Financial Services, Public Sector or highly regulated environments.
- Demonstrable delivery of cloud migration and data modernization programmes.
Technical Expertise
Data Architecture
- Enterprise Data Architecture
- Information Architecture
- Data Strategy
- Data Governance
- Data Quality Management
Data Modelling
- Conceptual Modelling
- Logical Modelling
- Physical Modelling
- Dimensional Modelling
- Data Vault
- Master Data Management (MDM)
Data Engineering
- ETL/ELT Architecture
- Data Pipelines
- Streaming Architecture
- API Integration
- Event-Driven Architecture
- CDC Frameworks
Cloud & Data Platforms
- Microsoft Azure
- Microsoft Fabric
- Databricks
- Synapse Analytics
- Data Lake Architecture
- Power BI
- Azure OpenAI
AI & Analytics
- Generative AI
- Machine Learning Platforms
- AI Governance
- RAG Architectures
- Vector Databases
- AI Data Foundations
- Data Products & AI Enablement
Desired Qualifications
- Degree in Computer Science, Engineering, Data Science or related discipline.
- TOGAF Certification.
- Microsoft Certified:
- Azure Solutions Architect Expert
- Azure Data Engineer Associate
- Azure AI Engineer Associate
- Fabric Analytics Engineer Associate
We are a Disability Confident Employer:
Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:
- Declare they have a disability, and
- Meet the minimum essential criteria for the role.
Please opt in during the application process.
Make It Real (what does it mean for you):
- You’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 ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.
- You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ 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 Manage Mentor, Cybersecurity qualifications and much more.
- You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere® 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.
Why you should consider Capgemini:
Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’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’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’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’ll build the skills you want. You’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 €22.1 billion.
Make it real | www.capgemini.com
