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
Deliverable
production ML models | product features | dashboards & analysis
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
