Data Architect

• 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.

• 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.

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.

• 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.
• 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.
• 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.
• 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.
• 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.

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.

Job Title: Data Architect

Location: London

Your Role:
Enterprise Data Architecture

• 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.