Senior Microsoft Fabric Data Engineer
Posted
Summary
Senior Data Engineer acting as a Microsoft Fabric subject matter expert at Central 1 in Vancouver (hybrid): designing scalable pipelines on OneLake, Lakehouse, and Data Warehouse, building ELT/ETL with SQL, dbt, and PySpark, and leading Fabric adoption, governance, and analytics.
Lead enterprise data engineering at Central 1 using Microsoft Fabric, OneLake, Lakehouse, Data Warehouse, and Power BI technologies in a hybrid role.
Central 1 seeks a highly experienced Senior Data Engineer and Microsoft Fabric Subject Matter Expert. You will lead platform design, implementation, and optimization across the Microsoft Fabric ecosystem. The work supports Fabric adoption through scalable engineering, governance, and analytics solutions.
Key Responsibilities:
Design scalable pipelines with OneLake, Fabric Lakehouse, and Azure components Provide technical leadership and mentorship on Microsoft Fabric engineering Develop ELT and ETL pipelines using SQL, dbt, PySpark, and Spark Notebooks Implement Bronze, Silver, and Gold Medallion Architecture Establish governance, security, lineage, monitoring, and compliance standards Requirements:
Eight or more years of Data Engineering experience Two or more years delivering enterprise-scale Microsoft Fabric solutions Expertise with OneLake, Lakehouse, Data Warehouse, Azure Data Factory, Spark, PySpark, and SQL Strong enterprise ELT and ETL design experience Azure DevOps, Git, governance, and performance optimization experience Bring Microsoft Fabric leadership, scalable pipeline engineering, and enterprise data platform expertise to Central 1.
Design scalable pipelines with OneLake, Fabric Lakehouse, and Azure components Provide technical leadership and mentorship on Microsoft Fabric engineering Develop ELT and ETL pipelines using SQL, dbt, PySpark, and Spark Notebooks Implement Bronze, Silver, and Gold Medallion Architecture Establish governance, security, lineage, monitoring, and compliance standards Requirements:
Eight or more years of Data Engineering experience Two or more years delivering enterprise-scale Microsoft Fabric solutions Expertise with OneLake, Lakehouse, Data Warehouse, Azure Data Factory, Spark, PySpark, and SQL Strong enterprise ELT and ETL design experience Azure DevOps, Git, governance, and performance optimization experience Bring Microsoft Fabric leadership, scalable pipeline engineering, and enterprise data platform expertise to Central 1.