Note: The job is a remote job and is open to candidates in USA. InductiveHealth is seeking a Software Engineering Lead - Data to lead the technical direction of its data platform. The role designs and helps implement scalable data solutions, guides Power BI development, shapes AI and analytics initiatives, and partners with DBA, DevOps, and application teams.

Responsibilities

• 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

Skills

• 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
• 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
• Familiarity with Azure AI Foundry
• 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