Senior Data Architect

Salary: £58,000 - 98,000 per year

Requirements:

• We require a bachelors degree in Computer Science, Data Engineering, Computer Engineering, Software Engineering, Data Science, Information Systems or a related discipline.
• We require substantial architecture experience across enterprise environments and the ability to work across Business, Data, Application and Technology Architecture.
• We require strong experience translating organisational strategy into enterprise Data and AI capabilities, target and transition architectures, principles, standards and multi-year roadmaps.
• We require strong knowledge of modern enterprise Data Architecture, including conceptual and semantic modelling, Data Products, Data Mesh/Data Fabric, cloud data platforms, integration, storage, master/reference data and interoperability.
• We require strong knowledge of governance architecture covering ownership, quality, metadata, lineage, privacy, security and information lifecycle, including data used by AI and AI-generated information.
• We require experience shaping how enterprise data is prepared, integrated, accessed and governed for AI use, and how AI-generated information is captured, classified, stored, managed and reused.
• We require strong knowledge and practical experience of modern and emerging Data and AI technologies and architecture patterns, including LLMs, Generative AI, RAG, semantic/vector capabilities, agentic AI, MCP, cloud data platforms and related integration technologies.
• We require an understanding of Python or similar technologies for prototyping and evaluation.
• We require experience aligning Data and AI Architecture with portfolio priorities, Value Streams, PI planning and Agile Release Trains, applying SAFe or equivalent Agile frameworks to identify architecture priorities, dependencies and enablers that support strategic delivery.
• We require excellent communication and influencing skills, with experience working with senior stakeholders, Data Owners, Data Stewards, Data Custodians, multidisciplinary teams and external suppliers, providing trusted architecture advice and translating complex Data and AI decisions into clear, business-oriented direction.
• We consider professional certification in Enterprise Architecture, Data Architecture or data management, such as TOGAF, DAMA/CDMP, ArchiMate or equivalent, desirable.
• We consider a relevant Masters degree in Data, Computer Science, Information Systems, Enterprise Architecture, AI or a related discipline, desirable.
• We consider relevant professional certification in enterprise data, cloud or AI technologies, such as Microsoft Azure, Fabric, Purview, AI or equivalent, desirable.

Responsibilities:

• We provide enterprise-level strategic architecture direction for Data and AI at Kings, supporting the Universitys strategy and the effective and responsible use of data and emerging AI capabilities.
• We contribute to Enterprise Architecture across Business, Data, Application and Technology Architecture.
• We translate strategic priorities into target architectures, capabilities, roadmaps, principles and standards.
• We help ensure Data and AI investments align with wider University needs and deliver institutional value.
• We shape how trusted and governed University data supports AI and digital capabilities.
• We define how data is prepared, accessed and governed for AI use, and how AI-generated information is captured, classified, stored, secured, retained and reused.
• We define the Data Architecture capabilities, standards and patterns needed to support current and emerging AI approaches, including Generative AI, RAG, agentic AI and Model Context Protocol (MCP).
• We work with senior stakeholders, Data Owners, Data Stewards, Data Custodians, Data Governance, Enterprise and Business Architecture, Data Solutions, Cloud & Platform, IT Assurance, delivery teams, other Professional Services teams and external suppliers.
• We provide strategic architecture advice and assurance.
• We communicate complex Data and AI decisions in clear, business-oriented language.
• We support alignment across portfolio priorities, Value Streams, PI planning and Agile Release Trains.

Technologies:

• Agentic AI
• AI
• ArchiMate
• Azure
• Cloud
• Fabric
• Support
• MCP
• Python
• RAG
• Security
• TOGAF
• Architect

More:

We are Kings College London, a leading university with a long-standing commitment to education, research and service to society. Our Strategy 2030 focuses on serving society through academic excellence, including student success, research and education excellence, and building a sustainable future. Our Enterprise Data Architecture within IT supports these priorities by establishing a consistent approach to how data is structured, governed, shared and reused across the University, aligning data capabilities, standards and architecture with wider University needs and supporting trusted data, digital services and emerging AI capabilities. This is a full-time role at 35 hours per week on an indefinite contract, with a salary of £65,091 to £74,613 per annum inclusive of London Weighting Allowance. We value a diverse, welcoming, open, inclusive and collaborative community, and we are committed to free speech, academic freedom and dignity at Kings.

last updated 36 week of 2026