Staff / Principal Forward-Deployed Architect, Data Modernization
AI summary of the role
This is the senior-most architect in Qualified Health's Data Modernization Services function, owning the cross-platform reference architecture for landing an EHR-anchored, AI-ready data foundation on Databricks, Snowflake, and Microsoft Fabric.
What you’ll do
- Own the cross-platform reference architecture for the Modern Data Platform across Databricks, Snowflake, and Fabric
- Serve as engagement-embedded tech lead: architecture, design reviews, and hands-on build on the hardest parts
- Lead technical discovery with health system partners — assess Epic Clarity/Caboodle, Cogito on Cloud, Bulk FHIR, flat-file SFTP
- Lead and develop a team of platform-specialist Senior Data Engineers and a Cloud/Platform Engineer
What you’ll bring
- 10+ years in data engineering, data platform architecture, or solutions architecture with demonstrated technical leadership of multi-person teams
- Hands-on production experience across at least two of Databricks, Snowflake, and Microsoft Fabric
- Three or more enterprise lakehouse / cloud data platform implementations delivered in regulated industries
- Deep cloud fluency with Azure: networking, identity, key management, IaC (Terraform or Bicep), and observability
Technologies
Databricks · Snowflake · Microsoft Fabric · Delta Sharing · Terraform · Bicep · PySpark · Epic Clarity · Bulk FHIR · HL7
About Qualified Health
Enterprise AI governance, agent creation, and monitoring platform enabling health systems to deploy generative AI safely at clinical and operational scale.
Series B · 100–200 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
AI-ready data foundation on Databricks, Snowflake, and Microsoft Fabric, and you stay close enough to the work to ship code yourself when an engagement calls for it. The work is unusually high-leverage. Every health system we modernize — from legacy reporting databases and SFTP-driven feeds to a modern lakehouse with Delta Sharing, Reader Accounts, or Fabric External Sharing — collapses the path from "data exists somewhere" to "agentic AI workflows can safely run against it." You're the person who decides what that target state looks like, defends those choices in front of a customer CTO, and then leads the team that builds it on a 10-week greenfield clock. You'll lead a tight bench of platform-specialist Senior Data Engineers (one each on Databricks, Snowflake, and Fabric) plus a Cloud/Platform Engineer. You're the public face of the practice in pre-sales discovery — and during
More from the job description
Transform healthcare with us. At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring — working alongside leading health systems to drive real change. This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board. Join us in shaping the future of healthcare. Job Summary The Staff / Principal Forward-Deployed Architect is the senior-most technologist in our Data Modernization Services function — and the single named architect across every engagement we run. You own the reference architecture that defines how we land an EHR-anchored, AI-ready data foundation on Databricks, Snowflake, and Microsoft Fabric, and you stay close enough to the work to ship code yourself when an engagement calls for it. The work is unusually high-leverage. Every health system we modernize — from legacy reporting databases and SFTP-driven feeds to a modern lakehouse with Delta Sharing, Reader Accounts, or Fabric External Sharing — collapses the path from "data exists somewhere" to "agentic AI workflows can safely run against it." You're the person w [... source excerpt omitted ...] a Terraform repo. This posting spans both Staff and Principal levels; the offer level is calibrated to depth of experience and breadth of demonstrated technical leadership. Key Responsibilities Own the cross-platform reference architecture for the Modern Data Platform across Databricks, Snowflake, and Fabric — and evolve it as platforms and partners change Serve as the engagement-embedded tech lead on the active engagement: architecture, design reviews, and hands-on build on the hardest parts Lead technical discovery with prospective health system partners — assess source environments (Epic Clarity/Caboodle, Cogito on Cloud, Bulk FHIR, flat-file SFTP) and design a defensible tar [... source excerpt omitted ...] further along than the last Carry the technical narrative in pre-sales: present to CTOs, CDOs, and enterprise architects; convert technical credibility into signed work Required Qualifications Education: Bachelor's degree in Computer Science, Engineering, or a related field. Master's preferred. Required Experience: 10+ years in data engineering, data platform architecture, or solutions architecture roles, with demonstrated technical leadership of multi-person teams Hands-on production experience across at least two of Databricks, Snowflake, and Microsoft Fabric — and the technical curiosity and pattern-recognition to credibly own the third Three or more enterprise lakehouse / cl
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