Software Engineering Lead - Data
This role is listed from Inductivehealth’s careers page. You apply on their site.
Log in to applyRemote, United States. 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…
About the role
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.
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.
Requirements
What You’ll Be Doing
• Set the technical direction and roadmap for our Microsoft Fabric platform, including layered (medallion) architecture, pipelines, and retiring legacy data marts
• Design how data flows from our applications into a governed warehouse, across many customers and multiple environments
• Act as the primary designer of our Power BI dashboards: data models, DAX measures, visual design, performance tuning, and governance (workspace structure, row level security, deployment pipelines)
• Lead our AI and automation efforts: spot manual work worth eliminating, prototype quickly, and bring new ideas to the team
• Shape our AI roadmap by designing data architecture (semantic layers, medallion structure) that supports the AI capabilities we want to build next
• Help design new, marketable data products and a lighter way of delivering reports that reduces ongoing maintenance
• 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
• Design and maintain observability practices across the data platform, including semantic models, pipelines, warehouses, and SQL endpoints
• Evaluate and recommend tools, patterns, and standards as we mature from report development toward a broader data + AI platform strategy
What We’re Looking For
• Senior experience architecting cloud data platforms, preferably on Microsoft Fabric, or on a comparable platform such as Databricks and Synapse
• A prototyping mindset and out-of-the-box thinking: you test ideas fast, learn from what fails, and have turned an idea into something people used
• Practical curiosity about AI: you have prototyped something with LLMs, retrieval, or automation and can tell us what worked and what did not
• 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 ingesting from relational sources, including change capture patterns
• 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
• Set the technical direction and roadmap for our Microsoft Fabric platform, including layered (medallion) architecture, pipelines, and retiring legacy data marts
• Design how data flows from our applications into a governed warehouse, across many customers and multiple environments
• Act as the primary designer of our Power BI dashboards: data models, DAX measures, visual design, performance tuning, and governance (workspace structure, row level security, deployment pipelines)
• Lead our AI and automation efforts: spot manual work worth eliminating, prototype quickly, and bring new ideas to the team
• Shape our AI roadmap by designing data architecture (semantic layers, medallion structure) that supports the AI capabilities we want to build next
• Help design new, marketable data products and a lighter way of delivering reports that reduces ongoing maintenance
• 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
• Design and maintain observability practices across the data platform, including semantic models, pipelines, warehouses, and SQL endpoints
• Evaluate and recommend tools, patterns, and standards as we mature from report development toward a broader data + AI platform strategy
What We’re Looking For
• Senior experience architecting cloud data platforms, preferably on Microsoft Fabric, or on a comparable platform such as Databricks and Synapse
• A prototyping mindset and out-of-the-box thinking: you test ideas fast, learn from what fails, and have turned an idea into something people used
• Practical curiosity about AI: you have prototyped something with LLMs, retrieval, or automation and can tell us what worked and what did not
• 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 ingesting from relational sources, including change capture patterns
• 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
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