Data Architect – Microsoft Fabric

📍 Location: London – Hybrid (2 days per week in the office)

💼 Role: Data Architect

🏢 Level: Senior / Enterprise Architecture

We’re looking for a Data Architect to lead the architecture and evolution of a modern Microsoft Fabric-based enterprise data platform.

This role will lead the design of a Microsoft Fabric-based enterprise data platform, embedding metadata-driven principles, strong governance, and data quality standards at the heart of the architecture. The role combines strategic enterprise data architecture responsibilities with hands-on involvement in designing and supporting the build of the data platform and its associated data products.

What you'll be doing:

• Lead the architecture and design of an enterprise Microsoft Fabric data platform
• Define scalable architecture patterns across Lakehouse, Data Warehouse, Data Engineering, Real-Time Analytics and Semantic Models
• Develop enterprise data architecture roadmaps, target-state architectures and transition strategies
• Design conceptual, logical and physical data models
• Establish metadata-driven architecture principles and frameworks
• Drive data lineage, cataloguing, metadata management and impact analysis
• Define and embed data governance, data quality and MDM principles
• Design enterprise integration patterns covering APIs, ETL/ELT and event-driven architectures
• Establish data ownership, authoritative data sources and CRUD matrices
• Partner closely with Data Engineering, Analytics, Enterprise Architecture, Technology and business stakeholders
• Provide architectural leadership and assurance throughout platform delivery

What we're looking for

• Significant experience in Data Architecture / Enterprise Data Architecture / Solution Architecture
• Strong hands-on experience with Microsoft Fabric and the Microsoft Data Platform ecosystem
• Expertise across Fabric Lakehouse, Warehouse, Data Engineering, Real-Time Analytics and Semantic Models
• Strong enterprise data modelling and information architecture experience
• Proven experience with metadata-driven architecture
• Strong knowledge of data governance, data quality, lineage and metadata management
• Experience with Master Data Management (MDM) and data mastering
• Strong understanding of enterprise integration architecture, APIs, ETL/ELT and event-driven patterns
• Strong SQL and data modelling skills
• Excellent stakeholder management and communication skills