Data Engineering Lead

Job description

**Mission + People + Culture**: With a corporate **Mission** to *stop disease through technology,* InductiveHealth is the market leader in software-as-a-service (SaaS) solutions to public health agencies. Our **People** come from all backgrounds and walks of life ranging from world class experts in epidemiology, informatics, and disease surveillance to engineers and product teams building high performance, modern solutions. Mission + People are unified around a virtual first **Culture** centered around teamwork, relentless focus on client outcomes, and individual accountability. **Why work at InductiveHealth?** 1. **Motivation**: We value initiative-takers and self-starters who want to contribute to the success of our Team and client outcomes. 2. **Curiosity**: Seeking to understand and comprehend is critical - we expect and encourage questions to master job duties and grow professionally. 3. **Organization**: We are a Team. This means we hold each other accountable and have high expectations for performance and outcomes. 4. **Feedback**: "Open and honest" is part of our corporate values that builds a culture of professional growth to support client success. 5. **Impact**: Your individual contributions will stop the spread of disease and improve individual, community, and population health outcomes. We're looking for a Software Engineer Lead to help lead the technical direction of our data platform. This is a hybrid, hands-on role requiring architectural thinking and experience — you'll design and help implement scalable data solutions in Microsoft Fabric, guide our Power BI development standards, help shape our emerging AI/analytics roadmap, and partner closely with DBA, DevOps, and application teams as we mature our architecture. ### 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