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Lead Solution Data Architect in ARCHITECTURE

Job in Leeds, West Yorkshire, ME17, England, UK
Listing for: Bank of England
Full Time position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 72320 - 90360 GBP Yearly GBP 72320.00 90360.00 YEAR
Job Description & How to Apply Below

Job Title

Lead Solution Data Architect – Architecture, Technology Directorate

Employment Type:

Permanent, Full time

Location:

Leeds or London

Flexible Working Options
  • Flexible start and end time each day
  • Adapt calendar as needed (school run, gym, appointments)
  • Required in‑office attendance: 50% (minimum 40%) spread across the month
  • Compressed hours (subject to approval and policy)
  • Working from abroad policy (subject to approval and policy)
A Day in the Role

Begin with team meetings, project stand‑ups or stakeholder check‑ins, then focus on developing architectural artefacts, reviewing roadmaps, and contributing to governance forums. Collaborate across Technology and the wider organisation, offering thought leadership and driving innovation. Engage in strategic planning, stakeholder engagement and develop architectural blueprints, high‑level design and technical options. The role emphasises collaboration, support, continuous learning and flexible working.

Role Requirements

Do you have a passion for enterprise data analytics solution design, team leadership and a track record of driving strategic change? Maybe you already have experience in shaping technology landscapes or are eager to enhance your leadership in architecture?

We are looking for someone who has the following key skills and experience:

  • Experience in IT architecture, applying architectural principles, standards and reference patterns to the design of modern data analytics platforms and AI solutions.
  • Strong understanding of the data, analytics and AI technology landscape, ability to assess existing estates and develop roadmaps focused on reuse, simplification and rationalisation.
  • Proven ability to translate business strategies, goals and requirements into architecturally coherent data architecture designs, blueprints and target architectures for data analytics platforms.
  • Experience defining enterprise architecture artefacts such as blueprints, technical options, design patterns, standards and guardrails, high‑level designs for complex data and analytics solutions.
  • Leading the data architecture of data analytics platforms from design through implementation, providing design assurance and leadership across engineering teams and business stakeholders.
  • Developing data architecture artefacts such as data models, data flows, interface designs and migration and transformation strategies for data analytics and AI solutions.
  • Strong stakeholder engagement skills, including building and maintaining stakeholder maps and communicating architectural outputs effectively.
  • Leading a team of architects, focusing on their personal development and training, supporting them with workload, fostering capability uplift and consistent standards.
  • Representing architecture at governance forums and advocating for strategic solutions.
Minimum Criteria
  • Experience in IT architecture, applying architectural principles, standards and reference patterns to the design of modern data analytics platforms and AI solutions.
  • Strong understanding of the data, analytics and AI technology landscape, ability to assess existing estates and develop roadmaps focused on reuse, simplification and rationalisation.
  • Proven ability to translate business strategies, goals and requirements into architecturally coherent data architecture designs, blueprints and target architectures for data analytics platforms.
  • Experience defining enterprise architecture artefacts such as blueprints, technical options, design patterns, standards and guardrails, high‑level designs for complex data and analytics solutions.
  • Leading the data architecture of data analytics platforms from design through implementation, providing design assurance and leadership across engineering teams and business stakeholders.
  • Developing data architecture artefacts such as data models, data flows, interface designs and migration and transformation strategies for data analytics and AI solutions.
  • Strong stakeholder engagement skills, including building and maintaining stakeholder maps and communicating architectural outputs effectively.
  • Leading a team of architects, focusing on their personal development and training, supporting them with workload,…
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