Core Technology StackRequired — the work centers on the Microsoft data platform:Microsoft Fabric — OneLake, Lakehouse, Warehouse, Pipelines, Notebooks, Dataflows Gen2
ELT / ETL pipeline development — ingestion, transformation, orchestration, and monitoring across the Bronze → Silver → Gold flow
Data warehouse modeling — dimensional modeling (Kimball), slowly changing dimensions, conformed dimensions in the Gold layer
Strongly preferred — commonly paired with Fabric in client environments:Azure Data Factory and/or Synapse Analytics
Power BI and DAX for semantic models and reporting
Python or PySpark for notebooks and transformations
Git-based source control and CI/CD for data pipelines (Azure DevOps or GitHub Actions)
Azure Data Lake Storage (Gen2) and Delta / Parquet formats
What You’ll DoDesign and build data warehouse solutions on Microsoft Fabric and Azure SQL aligned to client business needs
Implement and evolve the Medallion Architecture — Bronze (raw), Silver (cleansed/conformed), and Gold (business-ready) layers — on Fabric and Azure SQL
Develop and maintain ELT/ETL pipelines that are reliable, observable, and easy to operate
Model data for analytics and reporting — fact/dimension design, conformed dimensions, performant aggregates
Collaborate with ATG technical leads and client stakeholders to translate requirements into delivery-ready solutions
Own quality — testing, validation, documentation, and monitoring of pipelines and datasets
Research and propose solutions independently; bring options and tradeoffs, not just questions
Participate in code reviews and contribute to engineering standards on the account
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