Fabric Data Engineer
Core
Design, build, and maintain modern data platforms using Microsoft Fabric, Azure data services, and Lakehouse architecture to support analytics and AI use cases.
Role type
Senior IC Fabric Data Engineer
Builds
Microsoft Fabric data solutions (Lakehouses, Warehouses, Pipelines, Dataflows, Notebooks, Power BI semantic models)
Domain
Cloud Data Engineering / Microsoft Fabric / Azure
Deliverable
production ML models | product features
Required skills
Microsoft Fabric (Lakehouse, Warehouse, Pipelines, Dataflows, Notebooks, Power BI), Azure data services, SQL, Python/PySpark, ETL/ELT, data modeling, data governance, API integration, data quality checks, technical documentation
Preferred skills
Microsoft DP-203 and/or DP-700 certification, Azure AI Search, Azure OpenAI, Azure AI Foundry, RAG-style data preparation
Technologies
Microsoft Fabric, Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure Functions, Azure Key Vault, Azure AI Search, Azure OpenAI, Microsoft Purview, Entra ID
Responsibilities
Design and build Microsoft Fabric data solutions; Develop robust data ingestion pipelines from diverse sources; Build and maintain ETL/ELT processes for data cleansing and transformation; Create Lakehouse and medallion-style data architectures; Design data models supporting Power BI dashboards and business performance monitoring; Support AI and RAG use cases by preparing data for retrieval and agent workflows; Implement data quality checks, validation rules, lineage, and governance controls; Troubleshoot data pipeline failures, performance issues, and integration challenges
Seniority
Senior, hands-on IC