Senior Data Engineer on-site
Core
Design and lead the migration of legacy data systems into a modern Microsoft Fabric Lakehouse platform, establishing engineering standards and delivering self-service analytics.
Role type
Senior Data Engineer (Data Platform Modernization)
Builds
Modern data platforms (Microsoft Fabric Lakehouse), resilient ETL pipelines, and self-service semantic models for end users.
Domain
Enterprise Data Engineering, Cloud Data Platforms
Required skills
Microsoft Fabric architecture, Lakehouse medallion modeling, SQL engineering, ETL pipeline development, API integration, Power BI semantic modeling, CI/CD implementation, root-cause analysis, technical documentation.
Preferred skills
Azure Synapse, Databricks, Microsoft Copilot/AI-assisted development, Microsoft 365 ecosystem.
Technologies
Microsoft Fabric, Azure, SQL, Power BI, Databricks, CI/CD tools, Microsoft Copilot, Microsoft 365.
Responsibilities
Design data architecture in Microsoft Fabric including Lakehouse medallion models; lead migration of legacy SQL databases and ETL processes; establish engineering standards for source control, testing, and monitoring; define data delivery methods via semantic models and self-service tools; apply AI tools to accelerate development; build resilient solutions and lead failure analysis; document architecture and runbooks.
Seniority
Senior, hands-on IC with architectural leadership
