Data Architect – Microsoft Fabric

In this role you will lead end-to-end Microsoft Fabric-driven data platform transformations for enterprise clients. You’ll shape architecture strategy, guide delivery teams, and partner with senior stakeholders to unlock analytics and AI value. You work across Lakehouse, Warehouse, Real-Time Intelligence, and governance to deliver scalable, reusable patterns and accelerators. The position combines hands-on architecture, delivery leadership, and client engagement in a fast-growing Data & AI practice. This is a chance to influence architecture strategy across multiple enterprises and work with cutting-edge data technologies.

• Hybrid working model
• access to cutting-edge Data & AI technologies
• strong career growth
• collaborative culture
• exposure to senior stakeholders
• opportunity to influence architecture strategy

• Architect end-to-end Microsoft Fabric solutions across Lakehouse, Warehouse, Real-Time Intelligence, Semantic Models and Governance
• Define enterprise data architectures supporting analytics, reporting and AI use cases
• Lead data modelling across conceptual, logical and physical layers
• Shape and guide delivery teams through complex data transformation programmes
• Partner with senior stakeholders to align architecture with business objectives
• Create reusable architecture patterns, frameworks and accelerators for future engagements
• Support pre-sales activities, solution design and bid responses
• Drive governance, security, data quality and platform engineering best practices
• Provide leadership and mentorship to architects, engineers and delivery teams

• Proven experience delivering enterprise-scale data architectures
• Strong expertise with Microsoft Fabric (OneLake, Lakehouse, Data Warehouse, Data Factory, Real-Time Intelligence, Semantic Models, Governance)
• Experience with modern cloud data platforms (Azure, Databricks, Snowflake)
• Strong data modelling expertise and modern data architecture principles
• End-to-end data platform delivery from ingestion to governance and consumption
• Hands-on SQL and data engineering knowledge
• Experience with CI/CD and Infrastructure as Code (Terraform desirable)
• Strong stakeholder management and consulting skills

• stakeholder management
• consulting
• leadership
• Microsoft Fabric (OneLake, Lakehouse, Data Warehouse, Data Factory, Real-Time Intelligence, Semantic Models, Governance)
• Azure
• Databricks