Senior Data Architect

Anticipated Contract End Date/Length: December 31, 2026
Work Set Up: Hybrid (2–3 days per week in office)
Clearance Required: BPSS eligibility required

Our client in the Information Technology and Services industry is looking for a Senior Data Architect to deliver effective solution designs within the Bank’s Enterprise Data Lake (EDL) and Operational Data Store (ODS) platforms on Cloudera in AWS. The successful candidate will lead data design activities across large-scale distributed data projects, operating at both architecture and engineering levels within complex enterprise environments.

What you will do:

• Deliver effective solution designs across the Bank’s EDL and ODS platforms using Cloudera in AWS.
• Lead data design activities across solution delivery and broader implementation programmes.
• Design end-to-end data lake and distributed data solutions to meet business requirements.
• Contribute to overall solution planning, factory estimation, and identification of technical risks, issues, and assumptions.
• Review design artefacts produced by other Data Solution Architects within the factory team.
• Define and derive data best practices, adopting industry standards and identifying technology or process remediation opportunities.
• Produce required design artefacts independently or as part of a wider team.
• Work with business and programme teams to refine data requirements.
• Present solution designs to the Architecture Review Board when required.
• Engage with stakeholders across the Group Data Office and wider business.
• Support non-factory Solution Architects across change initiatives.
• Ensure solutions align with strategic architecture principles and direction.
• Review technical team designs to ensure alignment with the overall solution architecture.
• Support delivery leads in breaking down solutions for iterative sprint-based delivery.
• Support engineering functions across mapping, build, testing, and release.
• Review requirements and monitor change requests to ensure solution designs remain fit for purpose.
• Take ownership of complex data deliveries and provide hands-on technical support where required.
• Apply modern engineering practices and technologies across data architecture and delivery.