Data Architect in City of London

We are recruiting for a Data & AI Architect to support the design and delivery of a cloud‑native, AI‑ready enterprise data architecture within a multi‑product digital transformation programme. The role will enable the integration of both platform‑based AI capabilities and bespoke AI solutions, driving operational improvements and ensuring the technical landscape remains scalable, secure, and trustworthy.

The successful candidate will be embedded within a high‑velocity delivery environment, guiding architectural direction across services and tooling to deliver tangible AI use cases aligned with enterprise objectives.

Key Responsibilities

• Design end‑to‑end architecture patterns (e.g., Lakehouse, event‑driven, batch/stream hybrid, Retrieval‑Augmented Generation (RAG), Agentic workflows)
• Establish data architecture guardrails, data contracts, and enforce standards of data quality and governance
• Act as a design authority, providing architectural assurance across data and AI domains within the programme
• Lead integration and interoperability strategy between enterprise platforms (e.g., ServiceNow, MicrosoftFabric, Azure)
• Drive adoption of metadata management, lineage, and governance tooling, such as Microsoft Purview
• Align architecture with operational use cases to deliver measurable improvements in service delivery and analytics

Essential Qualifications

• Proven experience designing and governing enterprise‑scale, cloud‑native data and AI platforms
• Solid understanding of Lakehouse and medallion architectural models
• Hands‑on experience with Microsoft Fabric and/or Databricks in operational or data platforms
• Demonstrated ability to integrate AI components (e.g., ML pipelines, predictive analytics) into production environments
• Familiarity with enterprise service management tooling, particularly ServiceNow
• In‑depth knowledge of metadata, lineage, governance, and data security frameworks
• Strong communication and stakeholder engagement skills across technical and non‑technical audiences

Desirable

• Experience in public sector or other regulated environments
• Understanding of responsible AI principles and MLOps practices
• Background in service intelligence or operational analytics platforms

Benefits

• Training and personal development opportunities
• Private medical cover for you and your spouse/partner, offered via Vitality
• Discretionary bonus based on personal and company performance
• 25 days holiday plus birthday and work anniversary days
• Electric Vehicle leasing with salary sacrifice
• Contributed Pension Scheme
• Death in service cover

Equal Opportunities

We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.