Data Engineering Lead

What You’ll Be Doing

• Own and evolve our Microsoft Fabric architecture, including medallion architecture (bronze/silver/gold layers), data pipelines, mirrored/non-mirrored databases 

• Bring expert-level knowledge of Power BI development, data modeling, and reporting standards 

• Help shape our AI roadmap by designing data architecture (semantic layers, medallion structure) that's ready to support future AI use cases 

• Partner with DBA, DevOps, and application teams to design scalable, production-ready data solutions 

• Bring a working understanding of SQL Server performance monitoring — how to interpret database logs, identify performance issues, and support high-availability, 24/7 production environments 

• Support API integrations for data access and exchange across systems 

• Design and maintain observability practices across the data platform — including semantic models, pipelines, warehouses, and SQL endpoints — using tools like Azure Log Analytics and KQL 

• Evaluate and recommend tools, patterns, and standards as we mature from report development toward a broader data + AI platform strategy 

• Contribute to technical de

What We’re Looking For

• Senior-level experience in data solution design — schema design, system integration, scalability planning — with hands-on Microsoft Fabric and/or Power BI expertise 

• Experience designing data architectures (semantic layers, medallion structure) that are AI-ready; familiarity with Azure AI Foundry a plus 

• Strong SQL skills and experience with data pipeline design/optimization, with working knowledge of SQL Server performance monitoring concepts 

• Experience with medallion architecture and cloud data warehousing patterns 

• Hands-on experience with Fabric Data pipelines or similar pipeline/orchestration tools 

• Experience with API-based data integration 

• Solid understanding of the broader Azure ecosystem and its data-related services — App Services, VMs, Blob Storage, Log Analytics, networking basics 

• Python, Fabric notebooks/Spark, or exposure to MLflow/model registry concepts, and familiarity with Fabric's AI-adjacent capabilities 

• General exposure to or interest in AI-adjacent data patterns — e.g., natural-language-to-data querying or general familiarity with how AI grounding over data works conceptually 

• Working knowledge of PowerShell and/or Azure DevOps (ADO) dashboards/pipelines 

What Will Make You Stand Out

• Familiarity with Power BI Embedded or similar embedding frameworks 

• Hands-on experience with Azure AI Foundry, Azure OpenAI, or emerging analytics patterns (real-time/streaming, natural-language-to-data querying) 

• Familiarity with RAG, vector/embeddings concepts, AI agents, or responsible AI/governance principles 

• Experience with statistical analysis, forecasting, or health-related analytics, especially in partnership with data scientists or product teams