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

Benefits and Perks: InductiveHealth offers competitive benefits and perks including:

· Virtual first, remote organization and culture

· Flexible Paid Time Off (PTO)

· 401(k) retirement plan with corporate matching

· Medical, prescription, vision, and dental coverage (multiple plans based on your needs)

· Short Term and Long Term Disability (for employee)

· Life Insurance (for employee)

· New Team Member support for home office setup

About InductiveHealth: InductiveHealth (www.inductivehealth.com) was co-founded by Matthew Dollacker and Stephen Macauley in 2013. Today, InductiveHealth is headquartered in Atlanta, Georgia and has over 80 team members across the United States supporting state, tribal, local, and territorial (STLT) public health agencies in addition to Federal agencies such as the Centers for Disease Control and Prevention (CDC). In early 2021, InductiveHealth became the exclusive commercial partner of Johns Hopkins University Applied Physics Laboratory (JHU/APL) for the Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE) syndromic surveillance solution. To accelerate growth in the wake of the COVID-19 pandemic, InductiveHealth become a portfolio company of Diversis Capital (https://www.diversis.com/) in early 2022.

All responses to applications will come from mail@hire.lever.co or from the domain @inductivehealth.com.

InductiveHealth is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, or disability.