XDP Data Architect

About the role

Barclays is looking for an XDP Data Architect to define, direct and govern the bank's target data architecture, including its shared data environment, data model and standards. The role ensures data is accurate, secure and accessible, and works across technology and business teams to build a reliable, scalable data foundation. It is based in either the Knutsford or Glasgow office.

Key responsibilities

• Develop the bank's data architecture strategy, translating bank-wide goals into a target architecture and transition plan.
• Work with data operations, engineers and analysts to promote standardised, consistent and safe data usage.
• Maintain data architecture governance, standards and protection policies for data models, authoritative data stores and data capabilities.
• Manage project alignment to the target architecture through guidance, data solutions and progress monitoring.
• Define shared reusable data capabilities, assets, tools and technologies for connecting data sources and optimising storage.
• Custodian of the overarching data model that defines how data is logically and physically structured.
• Monitor regulatory standards and industry developments, and select and assess data technologies against service level agreements and quality standards.
• Contribute to strategy, advise stakeholders and senior management, manage risk and controls, and lead or guide multi-year assignments and specialist teams.

Required profile

• Ability to contribute to or set strategy, plan resources and budgets, and manage policies and processes.
• Leadership behaviours: listen authentically, energise and inspire, align across the enterprise and develop others; or, as an individual contributor, act as a subject matter expert guiding technical direction.
• Strong analytical thinking, stakeholder partnership and negotiation skills.

Required skills

• Data modelling and data architecture design, partnering with platform teams on solutions and integration.
• Data governance and data stewardship.
• Data integration and platform architecture.
• Standardised architecture governance.
• Highly valued: analytics, AI and machine learning architecture, cloud data platforms, master data management and reference data.