Lead Solution Data Architect in ARCHITECTURE in London

• Job Title
• Lead Solution Data Architect – Architecture, Technology Directorate
• 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, fostering capability uplift and consistent standards.
• Representing architecture at governance forums and advocating for strategic solutions.

Essential Criteria

• Experience in IT leadership and management, including the development of highly skilled and engaged teams.
• Critical thinking with the ability to develop long‑term strategies and advocate those strategies with stakeholders.
• Understanding of cloud‑based services and their role in enterprise solutions.
• Deep domain expertise and demonstrable hands‑on design experience with cloud‑based services for modern analytics on the Microsoft Cloud (Azure Data Lake, Azure Data Factory, Azure Databricks & Unity Catalog, MS Purview, Power BI, MS Fabric).
• Deep expertise in data architecture, including data modelling (conceptual and logical), Master and Reference Data Management, data quality, security, cataloguing, integration and governance across the data lifecycle in enterprise environments.
• Experience shaping and driving adoption of enterprise data architecture principles, and governance practices to manage data risks and auditability.
• Self‑managing and self‑motivated, with the ability to anticipate and solve problems.
• Excellent communication skills, including the ability to present and influence senior stakeholders.
• Working knowledge of quality standards, legislation, and best practice.
• Ability to think strategically, manage multiple initiatives, prioritise effectively and work independently.

Desirable Criteria

• Experience working with enterprise architecture frameworks (TOGAF, Zachman) and data modelling tools (Sparx Enterprise Architect).
• Enterprise Architecture skills such as technical reference model development, building block design, applications and role design, systems integration, and evaluation of architectures.
• Broader expertise of technologies and applications relevant to the Bank’s enterprise applications (Cloud, Azure, Databricks), and enterprise data and analytics ecosystems, including medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise scale analytics.
• Experience with data product thinking, domain‑oriented ownership or federated operating models.
• Understanding of data standards and industry models (ISO20022, FIBO, SDMX).
• Experience in platform selection, vendor evaluation and strategic technology direction.
• Experience working in a public, private Enterprise or FTSE 100 organisation.
• How this role fits into the wider Bank

This role is central to the Bank’s mission to promote the good of the people of the UK by maintaining monetary and financial stability.

As part of the Technology Strategy and Architecture division, you will help shape the Bank’s future technology landscape, ensuring it remains resilient, innovative and aligned with strategic goals.

You will work with a team passionate about setting the direction for strategic change and collaborate closely with key partners throughout the Bank to define roadmaps and craft our future landscape.

• Number of direct reports: 3
• Our Approach to Inclusion

The Bank values diversity, equity and inclusion.

We play a key role in maintaining monetary and financial stability, and to do that effectively, we believe we need a workforce that reflects the society we serve.

At the Bank of England, we want all colleagues to feel valued and respected, so we are working hard to build an inclusive culture which supports people from all backgrounds and communities to be at their best at work.

We celebrate all forms of diversity, including (but not limited to) age, disability, ethnicity, gender, gender identity, race, religion, sexual orientation and socioeconomic status.

We welcome applications from individuals who work flexibly, including job shares and part‑time working patterns.

We have also partnered with external organisations to support us in making adjustments for candidates and employees in the recruitment process where needed.

For most roles where work can be carried out at home, we aim for colleagues to spend half of their time in the office, with a minimum of 50% per month.

Subject to that minimum requirement, individuals and managers should work together to find what works best for them, their team and stakeholders.

We are proud to be a member of the Disability Confident Scheme. If you wish to apply under this scheme, please indicate it in the application.

Salary and Benefits

Benefits include a comprehensive package

• A non‑contributory career average pension: guaranteed retirement benefit of 1/80th of your annual salary per year worked (option to increase to 1/65th or decrease to 1/105th through the flexible benefits programme).
• A discretionary performance award based on a current award pool.
• 8% benefits allowance, taken as salary or used to purchase flexible benefits.
• 26 days annual leave, option to buy up to 12 additional days via flexible benefits.
• Private medical insurance and income protection.
• National Security Vetting Process

Employment in this role will be subject to the National Security Vetting clearance process (typically 6 to 12 weeks post‑offer) and the passing of additional Bank security checks in accordance with Bank policy.

Further information will be provided to the successful applicant and the Bank’s Privacy Notice outlines how personal data will be processed.

Application Process

Important: Please ensure you complete the work history section and answer all application questions fully.

All candidate applications are anonymised to ensure that hiring managers cannot see personal information when reviewing applications at the screening stage.

Therefore, it is essential to fill out the work history and application form questions.

The assessment process will comprise two interview stages.

This role closes on 04 August 2026.

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