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Job Title: Microsoft Fabric Data Architect
Location: London
Experience: 15+ Years
Technology: Microsoft Fabric | Power BI | D365 F&O | Azure Data Platform
We at Coforge are looking for a Microsoft Fabric Data Architect for London, who designs, plans, and governs enterprise-scale analytics solutions using Microsoft Fabric.
Role Overview
We are seeking an experienced Fabric Architect to lead the design, implementation, and governance of enterprise-scale data and analytics solutions on Microsoft Fabric. The ideal candidate will have deep expertise in Microsoft Fabric, D365 Finance & Operations (F&O), Data Architecture, Lakehouse, Power BI, Fabric Link, and Azure Data Services, with a proven track record of modernizing reporting platforms and building scalable data ecosystems.
Key Responsibilities
- Define and implement the Microsoft Fabric architecture roadmap for enterprise analytics and reporting.
- Design and govern modern data architectures leveraging OneLake, Lakehouse, Data Warehouse, Semantic Models, and Dataflows Gen2.
- Lead migration of legacy reporting platforms and BYOD-based reporting solutions to Microsoft Fabric and Fabric Link.
- Architect scalable data ingestion, transformation, storage, and consumption layers.
- Design and optimize Bronze, Silver, and Gold data layers for enterprise reporting and analytics.
- Establish Fabric governance, security, workspace strategy, and access controls.
- Collaborate with business and technology stakeholders to define data strategies, reporting frameworks, and analytics roadmaps.
- Provide architecture leadership across Finance, Supply Chain, Asset Management, and other D365 F&O business domains.
- Ensure data quality, scalability, performance, reliability, and compliance across the Fabric ecosystem.
- Lead architectural reviews and provide technical guidance to Data Engineers, BI Developers, and Analysts.
- Drive adoption of self-service analytics, semantic modeling, and reporting best practices.
- Work closely with MSPs and delivery teams to deliver enterprise-class analytics solutions.
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Essential Skills & Experience
- Strong experience as a Data Architect, Fabric Architect, Analytics Architect, or Enterprise Data Architect.
- Deep hands-on expertise in Microsoft Fabric, including:
- OneLake, Lakehouse, Data Warehouse, Data Factory
- Fabric Link
- Dataflows Gen2
- Semantic Models
- Proven experience designing and implementing enterprise-scale data architectures and analytics platforms.
- Strong understanding of D365 Finance & Operations (F&O) backend architecture.
- Hands-on experience with:
- Fabric Link
- BYOD Entities
- BYOD Databases
- D365 Data Entities
- Reporting Modernization Programmes
- Strong SQL and Python skills for data engineering, data transformation, and analytics workloads.
- Expertise in Data Modeling:
- Star Schema
- Dimensional Modeling
- Data Vault (preferred)
- Strong Power BI architecture and development experience.
- Experience establishing enterprise governance, security, metadata, and data management standards.
- Strong stakeholder management and business engagement skills.
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Preferred Skills
- Azure Data Platform Services
- Power Platform (Power Apps, Power Automate)
- AI and Copilot-enabled Analytics Solutions
- Microsoft Copilot Studio
- Microsoft Foundry
- Data Governance & Metadata Management Frameworks
- Real-Time Analytics & Event Streaming
- Experience implementing AI governance within enterprise environments
Key Competencies
- Enterprise Data Architecture
- Microsoft Fabric Architecture
- Data Strategy & Governance
- Lakehouse Design & Modern Data Platforms
- Reporting & BI Architecture
- Analytics Transformation
- Data Security & Compliance
- Stakeholder Management
- Technical Leadership & Mentoring
Ideal Candidate
- 10+ years of experience in Data, Analytics, and Business Intelligence.
- Extensive Microsoft Fabric Architecture experience.
- Proven track record delivering large-scale data transformation and reporting modernization initiatives.
- Strong experience with D365 F&O reporting architecture, Fabric Link, and BYOD migrations.
- Ability to translate business requirements into scalable data and analytics solutions.
- Strong leadership experience working with cross-functional teams, business stakeholders, and delivery partners.
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