Software Engineering Lead - Data
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.
What You’ll Be Doing
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Own and evolve our Microsoft Fabric architecture, including medallion architecture (bronze/silver/gold layers), data pipelines, mirrored/non-mirrored databases
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Bring expert-level knowledge of Power BI development, data modeling, and reporting standards
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Help shape our AI roadmap by designing data architecture (semantic layers, medallion structure) that's ready to support future AI use cases
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Partner with DBA, DevOps, and application teams to design scalable, production-ready data solutions
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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
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Support API integrations for data access and exchange across systems
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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
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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
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Senior-level experience in data solution design — schema design, system integration, scalability planning — with hands-on Microsoft Fabric and/or Power BI expertise
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Experience designing data architectures (semantic layers, medallion structure) that are AI-ready; familiarity with Azure AI Foundry a plus
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Strong SQL skills and experience with data pipeline design/optimization, with working knowledge of SQL Server performance monitoring concepts
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Experience with medallion architecture and cloud data warehousing patterns
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Hands-on experience with Fabric Data pipelines or similar pipeline/orchestration tools
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Experience with API-based data integration
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Solid understanding of the broader Azure ecosystem and its data-related services — App Services, VMs, Blob Storage, Log Analytics, networking basics
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Python, Fabric notebooks/Spark, or exposure to MLflow/model registry concepts, and familiarity with Fabric's AI-adjacent capabilities
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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
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Working knowledge of PowerShell and/or Azure DevOps (ADO) dashboards/pipelines
What Will Make You Stand Out
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Familiarity with Power BI Embedded or similar embedding frameworks
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Hands-on experience with Azure AI Foundry, Azure OpenAI, or emerging analytics patterns (real-time/streaming, natural-language-to-data querying)
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Familiarity wit