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# Microsoft Fabric Data Platform Architect

- **Company:** Careerwise
- **Location:** London, UK
- **Salary:** £120,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Architectural Patterns, Encodings, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Warehousing, Meta-Data Management, Microsoft Dynamics, Cloud Services, Salesforce.Com, Systems Integration, Enterprise Data Management, Data Storage Technologies, Data Ingestion, Azure Data Factory, Sql Optimization, Data Strategy, Microsoft Fabric, Data Lineage, Enterprise Integration, Data Management, Api Design
- **Published:** August 29, 2026
- **Apply:** https://www.careerboard.com/pt/en/find-jobs-in-United-Kingdom/-F86BF9C450119EB241/

## About the Role

* Extensive experience in enterprise data architecture, solution architecture, or data platform leadership, with deep hands-on expertise in Microsoft Fabric.
 * Proven track record of integrating various ERP and CRM platforms, ideally including Salesforce and Microsoft Dynamics.
 * Strong experience designing enterprise-scale cloud data platforms and modern data architectures across the Azure Data Platform ecosystem.
 * Advanced experience in data modelling, lakehouse/warehouse design patterns, SQL optimisation, and API-based ingestion architectures.
 * Proven experience implementing metadata-driven architecture, data lineage, cataloguing, and master data management (MDM).
 * Strong understanding of data governance frameworks, data quality, and enterprise data integration patterns.

## Description

Microsoft Fabric Data Platform Architect is required by a large organisation to lead the enterprise data strategy and the integration of the company's systems into a unified data ecosystem.

You will be responsible for:

 * Leading the modernisation of the current data estate.
 * Leading the architecture, design, and governance of the enterprise Microsoft Fabric platform.
 * Designing scalable data ingestion and data storage solutions.
 * Defining standards and architectural patterns across Lakehouse, Data Warehouse, and Data Engineering domains.
 * Providing technical leadership and architectural assurance through design reviews and governance processes.
 * Designing enterprise integration architectures, APIs, and event-driven patterns across the data landscape.
 * Embedding metadata-driven architecture principles to improve automation, governance, and operational efficiency.
 * Maintaining the enterprise data architecture roadmap.
 * Establishing master data management principles and supporting teams in defining authoritative data sources.
 * Implementing data lineage, data ownership, metadata management, access controls, and security policies across the data platform.
 * Managing data solutioning teams.


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