Microsoft Fabric Lead

We are seeking a highly experienced Senior Microsoft Fabric Lead to lead the design, development, and delivery of enterprise-scale analytics and data integration solutions using the Microsoft Fabric platform. The ideal candidate will possess deep hands-on expertise in Microsoft Fabric, PySpark, Power BI, OneLake, Data Engineering, and Data Integration , along with demonstrated leadership experience managing and mentoring a team of developers.

This role requires a hands-on technical leader who can define architecture, establish development standards, guide a team of four developers, and collaborate with business stakeholders to deliver scalable, secure, and high-performing analytics solutions.

Key Responsibilities

• Lead the design and implementation of end-to-end Microsoft Fabric solutions.
• Serve as the primary technical SME for Fabric Data Engineering, Data Factory, Data Warehouse, Lakehouse, and Power BI workloads.
• Establish development standards, coding guidelines, and CI/CD processes.
• Drive adoption of modern data engineering principles and governance frameworks.

Data Engineering & Integration

• Develop and optimize scalable ETL/ELT pipelines using Microsoft Fabric Data Factory and PySpark.
• Design and maintain Lakehouse architectures leveraging OneLake and Delta tables.
• Implement data ingestion frameworks from various enterprise sources, including SQL Server, APIs, flat files, cloud storage, and third-party systems.
• Optimize performance, scalability, and reliability of data pipelines.

Analytics & Reporting

• Lead Power BI semantic model design and enterprise reporting strategy.
• Develop scalable datasets, data models, and reporting frameworks.
• Ensure data quality, consistency, and governance across reporting platforms.

Architecture & Governance

• Define enterprise data architecture patterns and integration standards.
• Collaborate with security and governance teams to implement appropriate access controls and compliance requirements.
• Provide recommendations for platform optimization, cost management, and performance tuning.

Required Qualifications

Experience

• 9+ years of experience in Data Engineering, BI, and Analytics.
• 2+ years of hands-on experience with Microsoft Fabric.
• Proven experience leading technical teams and mentoring developers.
• Strong experience delivering enterprise-scale cloud-based analytics solutions.

Technical Skills

• Microsoft Fabric (Data Factory, Lakehouse, Data Engineering, Data Warehouse, OneLake)
• PySpark and Spark SQL
• Power BI (Data Modeling, DAX, Semantic Models, Report Development)
• Delta Lake and Medallion Architecture
• SQL Server and advanced SQL development
• Data Integration and ETL/ELT frameworks
• Azure Data Lake Storage (ADLS)
• Azure DevOps, Git, and CI/CD implementation
• REST APIs and data integration patterns

Key Technologies: Microsoft Fabric, OneLake, PySpark, Spark SQL, Power BI, DAX, Data Factory, Lakehouse, Delta Lake, SQL Server, Azure DevOps, Git, Purview, REST APIs.