Job Summary
The Microsoft Fabric Technical Lead will lead the design, development, and implementation of enterprise-scale data engineering, data warehousing, and cloud data platform solutions. The role requires extensive experience in data engineering, hands-on expertise with Microsoft Azure Data Platform technologies, and practical experience implementing Microsoft Fabric in enterprise environments. The technical lead will oversee data platform modernization initiatives, establish data architecture and governance practices, optimize data processing solutions, and guide technical teams in delivering scalable and reliable data solutions.
Key Responsibilities
• Lead the design, development, and implementation of enterprise-scale data engineering and data warehousing solutions using Microsoft Fabric and Azure Data Platform technologies.
• Implement and optimize Microsoft Fabric components, including OneLake, Lakehouse, Data Warehouse, Data Factory, Power BI, and Real-Time Intelligence.
• Develop and optimize data processing solutions using SQL, PySpark, Python, and Apache Spark.
• Design and implement dimensional data models and scalable ETL/ELT architectures.
• Integrate data solutions with Azure Data Lake Storage (ADLS) and other enterprise data platforms.
• Establish and maintain data governance practices and standards.
• Implement and manage CI/CD pipelines using Azure DevOps, GitHub, and related tools.
• Lead technical teams in delivering large-scale enterprise data modernization programs.
• Collaborate with stakeholders to define technical requirements, resolve complex data engineering challenges, and deliver business-aligned solutions.
• Apply engineering best practices to improve data platform performance, scalability, reliability, and maintainability.
• Support Agile/Scrum delivery processes and coordinate technical implementation activities.
Required Qualifications
• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• 10+ years of experience in Data Engineering, Data Warehousing, or Cloud Data Platform development.
• 4+ years of hands-on experience with Microsoft Azure Data Platform technologies.
• 2+ years of hands-on experience implementing Microsoft Fabric in enterprise environments.
• Strong expertise in SQL, PySpark, Python, and Spark optimization.
• Experience with Microsoft Fabric components, including OneLake, Lakehouse, Data Warehouse, Data Factory, Power BI, and Real-Time Intelligence.
• Experience with Azure Data Lake Storage (ADLS), Azure DevOps, GitHub, and CI/CD pipelines.
• Strong knowledge of dimensional data modeling, ETL/ELT architecture, and data governance.
• Experience leading technical teams and delivering large-scale enterprise data modernization programs.
• Strong communication, stakeholder management, and problem-solving skills.
Preferred Qualifications
• Experience in the Property and Casualty (P&C) Insurance domain.
• Experience with Databricks, Synapse Analytics, Azure AI Services, or Microsoft Purview.
• Knowledge of Agile/Scrum delivery methodologies.
Certifications
• Microsoft Certified: Fabric Analytics Engineer Associate (DP-600).
• Microsoft Azure Data Engineer Associate (DP-203).
