Sr. Fabric Data Engineer

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Role: Sr. Fabric Data Engineer

Engagement Type: Contract-to-Hire (C2H - 3 Months)

Work Location: Remote (EST time zone)

Start: Immediate / ASAP

We are seeking a highly skilled Senior Data Engineer with strong expertise in Microsoft Fabric to design, build, and optimize modern data pipelines and analytics platforms. This role will work across Fabric's unified ecosystem—including Data Factory, Lakehouse, Data Warehouse, One Lake, and Power BI—to deliver scalable, governed, and high-performance data solutions.

The ideal candidate will have hands‑on experience migrating legacy Azure or on‑prem data platforms to Fabric, implementing Medallion architecture, and collaborating closely with analytics and business stakeholders.

• Design, develop, and maintain end‑to‑end data pipelines using Microsoft Fabric.
• Ingest, transform, and model data using Fabric Data Factory (Pipelines) and Dataflows Gen
  2.
• Build and manage Lake houses, Data Warehouses, and One Lake for scalable analytics.
• Implement Medallion architecture (Bronze / Silver / Gold layers).

• Partner with analytics and business teams to design Power BI semantic models.
• Support high-performance reporting through optimized datasets and models.
• Enable downstream analytics through clean, well‑modeled data layers.

• Implement data governance, security, lineage, and compliance best practices.
• Optimize Fabric workloads for performance and cost efficiency.
• Monitor and troubleshoot pipelines using Fabric monitoring tools.

• Integrate Fabric with other Microsoft services:
  • Azure Synapse
  • Azure Data Lake
  • Power Platform
• Automate data quality checks and validation using:
  • Fabric Notebooks (Python / Spark)
  • Data Activator
• Support migration from Azure Synapse, Databricks, or SQL Server to Fabric.

• Strong hands‑on experience with Microsoft Fabric:
  • Data Factory (Fabric Pipelines)
  • Lakehouse
  • Data Warehouse
  • One Lake
  • Power BI
• Advanced proficiency in SQL, Python, and Spark
• Experience with ETL / ELT, data modeling, and performance tuning
• Solid understanding of Medallion architecture
• Experience with Azure Data Services (Data Lake, Synapse, ADF v2)
• Knowledge of data governance, lineage, and security
• Experience with Git and CI/CD for data pipelines
• Hands‑on experience with Power BI datasets, semantic models, and DAX (preferred)

• Microsoft Certified:
  Fabric Analytics Engineer Associate (DP-600)
• Experience migrating Azure data ecosystems to Fabric
• Exposure to real-time analytics / event-driven data
• Experience preparing ML datasets using Fabric Notebooks