Senior Data Engineer (Microsoft Fabric) - Remote

Franklin Fitch

United States

Remote

USD 140,000 - 160,000

Full time

2 days ago
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Job summary

Franklin Fitch is partnering with a large professional services client to hire a Senior Data Engineer focused on Microsoft Fabric. You will shape architecture, set engineering standards and deliver data products the business relies on.

This is a hands-on role with real influence: design calls, mentor engineers, and act as the technical voice in conversations with senior stakeholders, while working fully remote in restricted states.

Qualifications

  • 6+ years of data engineering experience in enterprise environments.
  • Production experience with Microsoft Fabric or strong Azure data stack (Data Factory, Synapse, Azure Data Lake).
  • Expert SQL including complex query design and performance tuning.
  • Strong Python (PySpark) for transformation, automation and tooling.
  • Proven track record in data modeling and Lakehouse/warehouse architecture.
  • Experience leading technical delivery and code reviews.

Responsibilities

  • Own end-to-end Fabric data solutions design from ingestion to semantic layers.
  • Lead migration of legacy pipelines and ETL workloads into Fabric.
  • Set CI/CD, testing, monitoring and data quality standards for pipelines.
  • Build security, access control and data classification into the platform.
  • Mentor engineers and partner with stakeholders to align roadmaps.

Skills

Data engineering
SQL
Python
PySpark
Architecture
Mentoring
Stakeholder comms

Tools

Microsoft Fabric
Data Factory
Synapse
Azure Data Lake
Microsoft Purview
Power BI

Job description

Franklin Fitch is partnering with a large professional services client to hire a Senior Data Engineer focused on Microsoft Fabric. You will shape architecture, set engineering standards and deliver data products the business relies on.

This is a hands-on role with real influence: design calls, mentor engineers, and act as the technical voice in conversations with senior stakeholders, while working fully remote in restricted states.

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