Enterprise Data Architect

Systems Limited; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

A leading technology firm is looking for an Enterprise Data Solution Architect to define and lead their enterprise-wide data strategy with a focus on Microsoft Fabric. Responsibilities include designing data platforms, governing data architecture, and ensuring compliance in regulated environments. The ideal candidate will have 12+ years of experience in data architecture and strong expertise in Azure data services. This role offers the opportunity to work on modernizing data solutions and mentoring teams in best practices.

Qualifications

• 12+ years of experience in Data Architecture, Engineering, or Enterprise Architecture roles.
• Hands-on experience designing and implementing Microsoft Fabric solutions.
• Strong knowledge of data governance and quality frameworks.

Responsibilities

• Own and drive the enterprise data architecture roadmap.
• Design and architect Microsoft Fabric-based data platforms.
• Lead the transition from legacy data warehouses to Microsoft Fabric.

Skills

Experience with Microsoft Fabric solutions

Data architecture expertise

Azure data services knowledge

Data governance frameworks

Strong communication skills

Tools

Power BI

Microsoft Purview

Job description

The Enterprise Data Solution Architect will define and lead the organization’s enterprise-wide data strategy and architecture, with a strong focus on Microsoft Fabric. This role is responsible for designing, governing, and modernizing data platforms to enable analytics, AI/ML, and BI across the enterprise. The ideal candidate brings hands‑on Microsoft Fabric architect-level expertise combined with strong stakeholder engagement and governance leadership in regulated environments.

Responsibilities

• Own and drive the enterprise data architecture roadmap, aligned with business and digital transformation goals.
• Design and architect Microsoft Fabric-based data platforms, including OneLake, Lakehouse, Warehouse, Real‑Time Analytics, and Semantic Models.
• Lead the transition from legacy data warehouses and BI platforms to Microsoft Fabric and modern lakehouse architectures (Medallion pattern).
• Define and govern conceptual, logical, and physical data models across enterprise data domains.
• Ensure data platforms support enterprise analytics, Power BI, AI/ML, and real‑time use cases.
• Architect secure, scalable, and cost‑efficient cloud‑native data solutions on Azure, leveraging Fabric‑native capabilities.
• Embed data governance, lineage, metadata, and quality controls using Microsoft Purview and Fabric governance features.
• Define access control, security, and data privacy models aligned with enterprise and regulatory requirements (e.g., BCBS 239, GDPR).
• Partner with business, compliance, and technology stakeholders to deliver end‑to‑end data solutions.
• Provide architectural oversight, standards, and guidance to data engineering and analytics teams.
• Evaluate emerging Microsoft and cloud data technologies and recommend best‑fit solutions.
• Mentor teams on Microsoft Fabric best practices, architecture patterns, and governance models.

Requirements

• Proven hands‑on experience designing and implementing Microsoft Fabric solutions (OneLake, Lakehouse, Warehouse, Power BI, Data Engineering, Real‑Time Analytics).
• 12+ years of experience in Data Architecture, Data Engineering, or Enterprise Architecture roles.
• Strong expertise in Azure data services and modern data platform design.
• Deep understanding of lakehouse architecture, medallion pattern, and enterprise data modeling.
• Proven experience in data migration and modernization from legacy DWH/BI platforms to Fabric or Azure‑based platforms.
• Strong knowledge of data governance, lineage, metadata, and data quality frameworks.
• Ability to design secure, compliant enterprise data platforms in regulated environments.
• Excellent communication skills with demonstrated experience engaging senior stakeholders.