1,264,521open jobs
72,980companies
210,977added this week
Browse all
Salary
≈ $81k – $160k per year (Estimated)
Location
Hybrid (London, United Kingdom)
Seniority
Architect
Visa
Licensed UK visa sponsor
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 5, 2026. First seen by Alion on Oct 1, 2026. Capgemini scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Capgemini is a French information technology services and consulting group founded in Grenoble in 1967 by Serge Kampf, and one of the largest IT service providers in the world. It designs, builds and runs systems for large enterprises and governments across some fifty countries, with a delivery workforce concentrated in India and a European client base heavier than most of its competitors. The group is organised into Capgemini Invent for strategy and design, Capgemini Engineering for research and development services acquired with Altran, and Sogeti for local technology services, and it has reoriented its portfolio around cloud migration, data platforms and generative AI.

Job Title: Data Architect

Location: London

About the Job you are considering:

The Data Architect will be responsible for defining and governing enterprise-wide data architecture, data models, taxonomy frameworks, and reference data solutions that support strategic business, regulatory, risk, and resilience objectives. The role will drive the design of scalable data foundations, entity resolution frameworks, knowledge graph structures, lineage capabilities, and governance controls across complex banking data ecosystems.

The successful candidate will work closely with business stakeholders, data engineering teams, governance functions, risk teams, and architecture communities to establish trusted, high-quality, and reusable data assets across the enterprise.

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:

Enterprise Data Architecture

  • Design and maintain conceptual, logical, and physical enterprise data models.
  • Define enterprise-wide data standards, modelling practices, and architecture principles.
  • Establish scalable and reusable data architectures supporting strategic data initiatives.
  • Conduct source system analysis and assess data structures, dependencies, and integration opportunities.

Taxonomy, Reference Data & Entity Management

  • Design and implement enterprise taxonomies and reference data models.
  • Develop identifier mapping, crosswalk frameworks, and entity resolution strategies across disparate systems.
  • Define golden source and master data patterns to improve consistency and data accuracy.
  • Establish reference data governance standards and stewardship processes.

Graph & Knowledge Data Architecture

  • Design graph data models including nodes, relationships, measures, attributes, and provenance structures.
  • Support the development of enterprise knowledge graph and connected data capabilities.
  • Define modelling standards for graph-based and semantic data solutions.
  • Enable relationship discovery and enhanced data traceability across critical domains.

Data Governance, Lineage & Quality

  • Define enterprise data lineage and provenance architectures.
  • Establish data quality frameworks, controls, monitoring, and remediation approaches.
  • Support implementation of governance policies, stewardship models, and regulatory compliance requirements.
  • Drive data transparency, traceability, and accountability across the data lifecycle.

Data Platform & Engineering Collaboration

  • Partner with data engineering teams to implement architecture designs on modern data platforms.
  • Design scalable architectures leveraging Snowflake and cloud-based ecosystems.
  • Support schema evolution, data integration, and data product development initiatives.
  • Define architectural standards for metadata management and reusable data assets.

Your Skills:

Essential

  • Extensive experience as a Data Architect, Enterprise Data Architect, or Information Architect within Banking or Financial Services environments.
  • Strong expertise in:
    • Enterprise Data Modeling (Conceptual, Logical, and Physical)
    • Taxonomy Design and Reference Data Architecture
    • Identifier Crosswalk and Entity Resolution Design
    • Graph Data Modeling
    • Data Lineage and Provenance Architecture
    • Data Quality Frameworks and Controls
    • Data Governance and Stewardship Models
    • Source System Analysis and Data Profiling
  • Advanced SQL and Python development skills.
  • Hands-on experience with Snowflake data platforms.
  • Strong understanding of Banking, Risk, Resilience, Reference Data, or Regulatory Data domains.
  • Experience designing scalable enterprise data solutions across large and complex organizations.
  • Strong stakeholder management and communication skills.

Desirable

  • Experience with Data Mesh and Data Product architectures.
  • Knowledge of Data Contracts and Schema Validation frameworks.
  • Experience designing Knowledge Graph or Property Graph solutions.
  • Hands-on experience with metadata management and data catalog tools such as Collibra or Alation.
  • Understanding of Lakehouse architectures and Parquet-based data platforms.
  • Exposure to BCBS 239 and regulatory data governance requirements.
  • Experience using Git for version control and collaborative development.
  • Experience working within Agile delivery methodologies.
  • Exposure to Microsoft Azure cloud platforms and services.

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 ManageMentor, 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

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,264,521 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Data Science
Similar stack
Same company
London
≈ $88k – $162k per year (Estimated) • In office • Full-Time • London
Python
Databases
PostgreSQL
Weaviate
Neo4j
pgvector
Pinecone
Qdrant
Amazon Neptune
AI/ML
LLM
RAG
Semantic Search
Semantic Search
Knowledge Graph
DevOps
GCP
Azure
AWS
Platform Engineering
Apply
≈ $90k – $178k per year (Estimated) • In office • Full-Time • 8+ years exp • York
AI/ML
Model Context Protocol
AI Agents
LLM
Knowledge Graph
DevOps
AWS
Apply
≈ $87k – $160k per year (Estimated) • Hybrid • Full-Time • London
Python
SQL
C#
Databases
PostgreSQL
Apply
$96k per year • Hybrid • Full-Time • PhD • London
Python
AI/ML
Machine Learning
DevOps
CI/CD
Git
Apply
Senior Data Scientist 9 hours ago
≈ $106k – $195k per year (Estimated) • In office • 3+ years exp • Master's Degree • London
AI/ML
Model Context Protocol
AI Agents
LLM
RAG
Machine Learning
DevOps
CI/CD
Cybersecurity
GDPR
Management
Agile
Scrum
Kanban
Apply
≈ $135k – $274k per year (Estimated) • Hybrid • TS/SCI • Full-Time • Boston • Washington
Python
SQL
Python
SQLAlchemy
Django
Alembic
Databases
PostgreSQL
AI/ML
AI Agents
Machine Learning
DevOps
GCP
Azure
AWS
Docker
Apply
QE SDET 2 days ago
≈ $13k – $30k per year (Estimated) • In office • Full-Time • 5+ years exp • Bachelor's Degree • India
Python
SQL
Analytics
ETL/ELT
Management
Agile
Scrum
Apply
$145k – $185k per year • Remote (location not specified, CT hours) • 5+ years exp
Python
JavaScript
PHP
TypeScript
SQL
Ruby
C#
AI/ML
AI Agents
Frontend
Angular
DevOps
Rest API
Azure
Git
Linux
TCP/IP
DNS
SOAP
Cybersecurity
Active Directory
Apply
$115k – $150k per year • Remote (location not specified, CT hours) • 7+ years exp
Python
JavaScript
PHP
TypeScript
SQL
Ruby
C#
AI/ML
AI Agents
Frontend
Angular
DevOps
Rest API
Azure
Git
Linux
TCP/IP
DNS
SOAP
Cybersecurity
Active Directory
Apply
≈ $21k – $42k per year (Estimated) • In office • Full-Time • 5+ years exp • Bachelor's Degree • Coimbatore
Python
SQL
Python
pySpark
Databases
PostgreSQL
Databricks
Delta Lake
DynamoDB
Azure SQL Database
Microsoft Fabric
AI/ML
Spark
Airflow
Pandas
NumPy
DevOps
Rest API
GitHub Actions
Azure
CI/CD
Git
Web3
Aptos
Analytics
Power BI
ETL/ELT
Informatica
Azure Data Factory
Management
Agile
Apply
SAS Data Engineer 4 days ago
≈ $56k – $129k per year (Estimated) • Hybrid • Full-Time • Telford
SAS
DevOps
CI/CD
Analytics
ETL/ELT
Management
Agile
Scrum
Apply
Data Architect 4 days ago
≈ $79k – $155k per year (Estimated) • Hybrid • Full-Time • 12+ years exp • London
SQL
Databases
Snowflake
Databricks
AI/ML
Machine Learning
DevOps
Azure
AWS
Analytics
ETL/ELT
Apply
≈ $77k – $142k per year (Estimated) • Hybrid • Full-Time • London
Python
SQL
AI/ML
Embeddings
RAG
DevOps
AWS
Analytics
Dimensional Modeling
Apply
≈ $77k – $140k per year (Estimated) • Hybrid • Full-Time • 7+ years exp • London
Python
SQL
Scala
Python
pySpark
AI/ML
Spark
DevOps
GCP
Azure
CI/CD
AWS
Analytics
ETL/ELT
Apply
≈ $76k – $140k per year (Estimated) • Hybrid • Full-Time • London
Python
SQL
Databases
Snowflake
Databricks
Microsoft Fabric
DevOps
GCP
Azure
CI/CD
Git
AWS
Analytics
ETL/ELT
Apply
≈ $42k – $93k per year (Estimated) • In office • Part-Time • London
Apply
≈ $25k – $49k per year (Estimated) • Hybrid • Full-Time • London • Manchester • Leeds • Birmingham • Glasgow
Apply
In office • Full-Time • London
Marketing
HubSpot
Apply
Hybrid • Full-Time • 10+ years exp • London
Apply
≈ $25k – $42k per year (Estimated) • In office • Full-Time • London
Management
Microsoft Office
Apply
See all jobs
This is one of many
1,264,521 more open roles from verified company boards, updated every day.