Senior Data Engineer (Fabric)

About This Role

Lead the design and implementation of a large-scale Microsoft Fabric analytics platform for a data-rich services company, focusing on building and scaling modern data solutions and enabling enterprise reporting.

Responsibilities

• Design and deliver end-to-end data pipelines using Microsoft Fabric, Spark, and Azure Data Factory
• Build and optimize Lakehouse and Warehouse solutions using Delta Lake
• Implement and evolve Medallion architecture (Bronze/Silver/Gold) within OneLake
• Develop scalable ETL/ELT patterns for batch and incremental ingestion
• Tune performance through data modeling, partitioning, file design, and query optimization
• Enable analytics via semantic models and Direct Lake for reporting platforms
• Establish data quality, monitoring, and governance standards
• Collaborate with engineers, product teams, and business stakeholders on data modeling and design
• Provide technical leadership through design reviews and code reviews

Requirements

• Strong hands-on experience with Microsoft Fabric (Lakehouse, Warehouse, OneLake)
• Solid background in Azure data services (ADF, Synapse or equivalent)
• Advanced Spark (PySpark / Spark SQL) and SQL skills
• Experience with Delta Lake and modern data lake architectures

Qualifications

• Senior-level data engineering experience delivering production-grade data platforms

Nice to Have

• Familiarity with analytics tools such as Power BI or similar

Skills

* Required skills