Role Overview
We are looking for an experienced Microsoft Fabric Developer to lead the design, development, and optimization of enterprise data pipelines, lakehouse solutions, and analytics models.
Key Responsibilities
- Design and develop pipelines using Fabric Data Factory and Dataflows Gen2.
- Build Spark notebooks using PySpark and Spark SQL.
- Implement Lakehouse, Warehouse, OneLake, Delta Lake, and medallion architecture.
- Optimize Power BI semantic models using DAX and Direct Lake.
- Lead migrations from SSIS, Azure Data Factory, Azure Synapse, and SQL Server.
- Implement CI/CD using Git, Azure DevOps, or GitHub.
- Manage data security and governance using Microsoft Purview, RBAC, RLS, and sensitivity labels.
- Optimize Fabric capacity, pipeline performance, and Spark jobs.
- Mentor engineers and collaborate with business and IT stakeholders.
Required Skills & Qualifications
- 10+ years of data engineering experience with hands-on Microsoft Fabric production delivery.
- Strong expertise in Lakehouse, Warehouse, OneLake, Data Factory, and Spark notebooks.
- Expert-level SQL/T-SQL, Python, PySpark, and Spark SQL.
- Strong Delta Lake, dimensional modeling, and medallion architecture experience.
- Power BI, DAX, semantic models, Direct Lake, Import, and DirectQuery.
- Experience with incremental loads, CDC, and data-quality frameworks.
- Strong Git, CI/CD, and deployment pipeline experience.
- Technical leadership, mentoring, and stakeholder-management skills.
Rate:
Not specified
Location:
United States
IR35 Status:
Outside
Remote Status:
Remote
Industry:
Data & Analytics
Seniority Level:
Senior