Senior Forward Deployed Data Engineer, Data Modernizaton

About the role

This role is part of the Jobright TNT — the private hiring network connecting top talent with top AI startups like Perplexity, Mercor, Cresta, Suno and 150 more. Qualified Health is building the healthcare-native enterprise AI platform that helps leading health systems deploy AI safely, at scale, and with measurable clinical and financial impact.

Why Join Us

• AI-native healthcare enterprise platform helping health systems safely capture the trillion-dollar healthcare AI opportunity across clinical, operational, and financial workflows
• Raised $125M Series B led by NEA, now supporting 400,000+ users across leading U.S. health systems with 10x revenue growth in the past year
• Founding team brings experience from Stanford Medicine, Waymo, Haven, Evolent Health, Elevance Health, UCSF, IHI, and Weill Cornell Medicine
• Join a small, exceptionally high-performing team where every role directly shapes how leading health systems adopt AI safely, responsibly, and at scale

Responsibilities

• Work forward-deployed inside the customer's environment: partner directly with their data and IT teams, present design decisions and progress to their technical leadership, and represent QH on-site during kickoffs and key milestones
• Own platform-specific architecture and build for your stack during active engagements, as technical lead under the Principal Solutions Architect
• Design and implement ingestion from EHR and source systems (Epic Clarity / Caboodle, FHIR, ERP, scheduling, claims) into a medallion lakehouse
• Build and harden change-data-capture, transformation, and orchestration pipelines that meet engagement timelines
• Configure governance, access control, and the data-sharing pattern that hands clean, AI-ready data to QH's platform (Delta Sharing, Fabric External Sharing, Snowflake Reader Accounts, or equivalent)
• Sustain production environments handed off from prior engagements, and develop reusable accelerators and IP that compress the next build
• Support pre-sales technical discovery and source-data assessment alongside the Principal SA
• Ensure every environment meets handoff criteria for the Client Integration team — governed, documented, reproducible
• Cross-train on the other two platforms to keep the team flexible across single- and multi-engagement states

Qualifications

• Required
  • 8+ years in data engineering or data platform roles, at a Senior or Staff IC level
  • Client-facing maturity — comfortable working on-site in a customer's environment and presenting technical work to their data and IT leadership
  • Deep, hands-on expertise in at least one of Databricks, Snowflake, or Microsoft Fabric
  • Has shipped production data workloads in a regulated environment (HIPAA, HITRUST, or comparable)
  • Strong in Python and distributed data processing (PySpark or equivalent), plus SQL and modern transformation tooling
  • Comfortable as the sole platform expert on an engagement — you can own a build, not just contribute to one
  • Infrastructure-as-code fluency (Terraform) and CI/CD discipline (GitHub Actions)
• Platform-Specific Depth (own one)
  • Databricks: Delta Lake, Unity Catalog, Delta Sharing, Delta Live Tables, Photon. Bonus: production Databricks experience inside a health system or Databricks partner consultancy
  • Snowflake: Snowpark, Reader Accounts, Streams & Tasks, Dynamic Tables, Snowpipe, strong dbt fluency. Bonus: Epic Clarity inside Snowflake
  • Microsoft Fabric: OneLake, SQL Server Mirroring for CDC, Fabric Data Factory, Fabric External Sharing, Iceberg shortcuts. Bonus: prior Azure Synapse / ADF / Databricks-on-Azure background
• Preferred
  • Resident / customer-success solutions architect or engineer from a cloud data platform vendor (Databricks, Snowflake, Microsoft FastTrack / CSU)
  • Senior data engineer from a health system running on your platform, or from a platform-partner consultancy
  • Familiarity with EHR data models and the realities of on-prem-to-cloud CDC
  • Background in consulting, professional services, or data platform implementation in regulated industries (healthcare strongly preferred; fintech a strong adjacent)
  • Ownership: You're the one person on the engagement who deeply knows this platform, and you carry that weight without needing a second set of hands on every decision
  • Pragmatism: You know the difference between architecturally ideal and deliverable-in-ten-weeks, and you optimize for the latter without creating technical debt
  • Reusability mindset: You build the second engagement's accelerator while delivering the first, because you've felt the cost of bespoke-everything
  • Clinical-data literacy: Clarity and Caboodle don't scare you; you understand why health system data is messy and you've untangled it before
  • Cross-platform curiosity: Your depth is in one stack, but you're glad to learn the other two so the team can flex across engagements