Lead Data Engineer
What You'll Own
- Data pipeline architecture and development across Azure and Microsoft Fabric, including Fabric Data Factory, Azure Data Factory, and related orchestration tools
- Data modeling, transformation logic, and the semantic layer powering Power BI and self-service analytics
- Governance, data quality, and platform reliability across the lakehouse and warehouse layers
- A team of data engineers and analysts you'll develop, mentor, and hold accountable
- Integration workflows connecting source systems to the data platform, including ERP, CRM, and third-party feeds
- The bridge between data engineering and the broader business, translating analytical needs into scalable, maintainable solutions
What You Bring
- 5+ years of hands-on data engineering experience, with a focus on Azure or Microsoft Fabric environments
- 2-3 years leading or mentoring a team of engineers or analysts
- Strong proficiency in SQL and Python, with experience building and maintaining production-grade pipelines
- Hands-on experience with Power BI, semantic models, or the broader Microsoft Fabric ecosystem
- Familiarity with Azure Synapse, Data Lake, Purview, and/or DevOps is a plus
- A bachelor's degree in a technical field, or equivalent experience
- Strong communication skills across technical and non-technical audiences
Why It's a Good Move This is a direct hire role with an organization that has real infrastructure in place and the appetite to modernize it. You'll have genuine ownership, a team to lead, and the mandate to build a data platform that actually moves the business forward.
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