Senior Enterprise Architect

• Produce high-level architecture, future/north star, and emerging technology views and roadmaps, with a view to start implementing architecture as code
• Provide architectural guidance, including external expertise on trends and best practice for strategy, principles, standards, and guardrails
• Help with transition states, designs, and architecture delivery
• Work within the programme and with workstream leads to drive scope, requirements, architecture, and design roadmaps
• Engage with internal and external stakeholders involved in the programme
• Deliver designs, tooling strategy, and data delivery patterns
• Support the development, documentation, and assurance of end-to-end architectures across multiple domains
• Shape solution designs, support feasibility assessments and roadmaps, produce architectural artefacts, identify cross-domain dependencies and risks, and contribute to architecture governance
• Work closely with delivery, platform, and engineering teams to maintain architectural coherence while enabling pragmatic delivery

Technologies:

• AI
• Architect
• Azure
• Cloud
• CTO
• ETL
• GCP
• Support
• Embedded, We are hiring a Senior Enterprise Architect Data & AI for our CTO Data & AI, Analytics & AI team in London on a hybrid contract basis. We provide enterprise architecture capability across multiple domains, supporting end-to-end architecture development, documentation, and assurance while working closely with delivery, platform, and engineering teams to maintain architectural coherence and enable pragmatic delivery. The role focuses on secure, resilient, and scalable solutions across cloud, integration, data, and infrastructure, with a strong emphasis on shaping target architectures, guiding technology decisions, and collaborating with engineering teams to drive strategic outcomes.

• Knowledge of cloud database technologies, distributed systems, and scalable data workload architecture, including real-time streaming
• Understanding of modern enterprise data platforms, data sourcing patterns and constraints, ETL/ELT patterns, and data modelling techniques and trade-offs
• Grounding in enterprise data management best practices within a regulated enterprise context
• Experience designing scalable cloud-native data architectures, for example Azure or GCP
• Demonstrable ability to translate complex architectures into reusable enterprise design patterns
• Ability to understand a complex estate
• Strong stakeholder management skills
• Consultative approach
• Adaptability
• Exposure to AI, applied and enabling, and its effect on data demand and the implications for delivery of data platforms
• Experience in automation in the data management space, including data contracts
• Familiarity with data management and governance technology such as Collibra, Dataplex, Purview, and Attacama, or similar industry tools
• Experience with master and reference data management best practices
• Experience delivering real-time data patterns