Principal Forward-Deployed Architect, Data Modernization

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Qualified Health

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

🤖 Artificial Intelligence

☁️ SaaS

💰 $30M Seed on 2025-02

Healthcare • Artificial Intelligence • SaaS

Qualified Health is a healthcare-native enterprise AI platform that unifies AI solutions, governance, integrations, and builder tools for health systems. The company provides an end-to-end platform that connects to clinical, operational, and financial systems to power multiple AI workflows, offers a library of validated AI solutions, agent and workflow builder tools, and built-in governance, oversight, and workforce education. It aims to enable safe, compliant, and measurable AI deployment across health systems and is partnered with major health systems and AI organizations; it reports rapid deployments (15k users in <1 month) and measurable financial and operational impact.

📋 Description

• 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 target state • Lead and develop a team of platform-specialist Senior Data Engineers and a Cloud/Platform Engineer; set the technical bar • Review and approve all engineering deliverables — IaC, ingestion patterns, data sharing topology, security controls • Partner with the Engagement Manager and Field CDO to scope SOWs, defend timelines, and surface technical risk before it becomes schedule risk • Coordinate technical handoffs to the QH Platform team via Delta Sharing / Reader Account so AI workflows can be deployed against the modernized foundation • Maintain the technical engagement playbook and a library of accelerators so each engagement starts 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

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field. Master's preferred. • 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 • Three or more enterprise lakehouse / cloud data platform implementations delivered in regulated industries • Deep cloud fluency, with Azure as the most common engagement substrate: networking, identity, key management, IaC (Terraform or Bicep), and observability • Client-facing experience leading executive technical conversations

🏖️ Benefits

• competitive salaries with equity packages • robust medical/dental/vision insurance • flexible working hours • hybrid work options • an inclusive environment that fosters creativity and innovation