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.

Work arrangement
Hybrid