Lead Azure Fabric Engineer
Job in
Dallas, Dallas County, Texas, 75201, USA
Listing for:
Absolutelabs
Full Time
position
Listed on 2026-11-15
Job specializations:
-
IT/Tech
Job Description & How to Apply Below
- Design and develop end-to-end data pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Notebooks, Pipelines) and Azure Data Factory (ADF). Build and manage models in the Microsoft Fabric ecosystem.
- Build and manage data models across One Lake and Fabric Work spaces, ensuring well-structured environments, access, and collaboration across teams.
- Develop and optimise complex SQL, PySpark, and DAX queries for large-scale data processing and analytics workloads.
- Integrate Fabric workloads with Azure services including Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, Azure Databricks, and Power BI.
- Implement medallion architecture and data modelling best practices, following standard SDLC practices to ensure data quality, consistency, and reliable releases.
- Collaborate with stakeholders to translate business requirements into scalable data solutions and reusable data assets.
- Ensure data governance, lineage tracking, and compliance using Microsoft Purview and Fabric's built-in governance features.
- Monitor, troubleshoot, and performance-tune data workflows, keeping an eye on capacity usage and cost efficiency (Fin Ops) while ensuring SLAs are met.
- Participate in CI/CD pipeline setup for data workloads using Azure Dev Ops and Git-based version control.
- Design and develop end-to-end data pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Notebooks, Pipelines); hands-on Azure Data Factory (ADF) experience is mandatory.
- Build and manage data models within the Microsoft Fabric ecosystem, including One Lake and Fabric Workspace setup and management.
- Develop and optimise complex SQL, PySpark, and DAX queries for large-scale data processing and analytics workloads.
- Integrate Fabric workloads with Azure services, including Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, Azure Databricks, and Power BI.
- Implement medallion architecture (Bronze / Silver / Gold) and data modelling best practices, with a good grasp of SDLC processes to ensure data quality and consistency.
- Collaborate with stakeholders to translate business requirements into scalable data solutions and reusable data assets.
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