Description
Senior Enterprise Architect Data & AI London / Hybrid Contract
We are Hiring Enterprise Architect who will provide enterprise architecture capability within the CTO Data & AI - Analytics & AI .
Working within agreed architectural direction, the role supports the development, documentation, and assurance of end to end architectures across multiple domains.
This includes shaping solution designs, supporting feasibility assessments and roadmaps, producing architectural artefacts, identifying cross domain dependencies and risks, and contributing to architecture governance.
The role works closely with delivery, platform, and engineering teams to maintain architectural coherence while enabling pragmatic delivery.
Enterprise Architect with expertise in cloud, integration, data, and infrastructure, delivering secure, resilient, and scalable solutions.
Skilled in shaping target architectures, guiding technology decisions, and collaborating with engineering teams to drive strategic outcomes.
Your responsibilities
- Produce highlevel 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
- Embedded within the programme and work with workstreams leads to help drive scope, requirements, architecture and design roadmaps
- Stakeholder engagement both Internal and External involved in the programme
- Responsible for delivering designs, tooling strategy and data delivery patterns
Your Profile
Essential skills/knowledge/experience:
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.
Data Modelling techniques and trade offs
Grounding on enterprise data management best practices within a regulated enterprise context
Experience designing scalable cloud-native Data architectures (e.g., Azure, GCP)
Demonstrable ability to translate complex architectures into reusable enterprise design patterns
Ability to comprehend a complex estate, strong Stakeholder management, Consultative approach, Adaptability
Desirable skills/knowledge/experience:
Exposure to AI, applied and enabling, and its effect on both the demand side for data as well as 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, Attacamma etc (not specific to these vendors, but the industry)
Master & Reference Data Management best practices experience
Worked experience on tech delivery of Real Time data patterns