Remote Data Platform Engineering Lead - AI-Ready

InductiveHealth

United States

Remote

USD 140,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Virtual first, remote organization
Flexible PTO
401(k) matching
Medical, vision, dental
Disability coverage
Life Insurance
Home office setup assistance

Job summary

InductiveHealth is seeking a senior data solutions expert to own and evolve the Microsoft Fabric architecture and BI reporting standards. You will shape its AI-ready data architecture and collaborate with cross-functional teams to deliver scalable, production-ready data solutions.

You will optimize SQL Server performance, manage data pipelines, and ensure observability across the platform while aligning with the company’s mission to stop disease through technology.

Qualifications

  • Senior-level experience in data solution design with MS Fabric and/or Power BI.
  • Ability to design scalable data architectures and semantic layers.
  • Experience with cloud data warehousing patterns and API integrations.

Responsibilities

  • Own and evolve Microsoft Fabric architecture and medallion layers.
  • Develop and enforce Power BI data models and reporting standards.
  • Design AI-ready data architecture to support future use cases.
  • Collaborate with DBA, DevOps, and application teams on scalable data solutions.
  • Monitor SQL Server performance and support high-availability environments.
  • Support API data access and exchange across systems.
  • Define observability practices across the data platform.

Skills

Power BI
Microsoft Fabric
SQL
Data architecture
Azure ecosystem

Tools

Fabric Data pipelines
Azure DevOps
PowerShell

Job description

InductiveHealth is seeking a senior data solutions expert to own and evolve the Microsoft Fabric architecture and BI reporting standards. You will shape its AI-ready data architecture and collaborate with cross-functional teams to deliver scalable, production-ready data solutions.

You will optimize SQL Server performance, manage data pipelines, and ensure observability across the platform while aligning with the company’s mission to stop disease through technology.

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