Note: The job is a remote job and is open to candidates in USA. InductiveHealth provides software-as-a-service solutions to public health agencies with a mission to stop disease through technology. The Data Engineering Lead will lead the technical direction of the data platform by designing and implementing scalable Microsoft Fabric solutions, establishing Power BI standards, supporting AI and analytics initiatives, and partnering with DBA, DevOps, and application teams.
Responsibilities
- 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
Skills
- 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
- 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
- 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
Company Overview