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 Director of Data Modernization is the technical architect and engineering leader across all of Qualified Health's data modernization engagements. You'll walk into a health system's data environment — which might be anything from a well-maintained EHR reporting database to a tangle of flat files and manual SFTP processes — and design the modern cloud data platform that will replace it.

This is the highest-leverage work on the team. Every health system you modernize from legacy connectivity to a modern data sharing pattern reduces their ongoing integration effort dramatically. You're not just building infrastructure — you're removing the single biggest bottleneck to AI deployment across our entire partner base.

You'll own the technical architecture playbook, make design decisions across concurrent engagements, lead a team of data engineers and cloud/infrastructure engineers, review all engineering output, and personally drive the most complex builds. The Engagement Manager handles the partner relationship and project management — you handle the engineering. Together, you run the engagement.

Key Responsibilities:

• Own the technical architecture for modernization engagements: Azure Databricks design, data landing zones, networking, security controls

• Lead and develop a team of data engineers and cloud/infrastructure engineers

• Lead technical discovery and source data assessments for new engagements

• Review and approve all engineering deliverables across concurrent engagements

• Personally drive architecture and build for the most complex engagements

• Set engineering quality standards and drive architectural decisions across the modernization practice

• Maintain and evolve the technical engagement playbook

• Ensure environments meet handoff criteria for the Client Integration team

• Collaborate with Data Mapping Analysts on source data assessment and validation

• This role requires travel to healthcare client sites for engagement kickoffs, technical discovery sessions, and key milestones. Candidates should be prepared for 15-25% travel, depending on active engagements.

Required Qualifications:

• Education: Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is preferred.

• Required Experience:

  • 6+ years in data engineering or data platform roles, with demonstrated technical leadership

  • Deep Azure expertise: Databricks, ADLS2, Azure networking, managed identities, Terraform/Bicep

  • Experience with data platform design and deployment (greenfield builds)

  • Client-facing experience — comfortable leading technical conversations with health system IT teams

Preferred Skills:

• Familiarity with EHR data sources and clinical data models (Epic Clarity/Caboodle preferred)

• Experience with data sharing protocols (Delta Share, Fabric External Sharing, or similar)

• Background in consulting, professional services, or data platform implementation

• Experience designing data architectures for HIPAA-regulated environments

• Track record of managing technical quality across concurrent engagements

• Architectural Judgment: You can walk into an unfamiliar data environment, assess what exists, identify what's missing, and design a target state architecture that is both technically sound and achievable within a time-boxed engagement

• Hands-On Leadership: You lead by example — reviewing code, pairing with engineers on tough problems, and shipping your own work alongside the team

• Pragmatism: You know the difference between "architecturally ideal" and "what we can actually deliver in the engagement window" — and you optimize for the latter without creating technical debt

• Client Presence: You're comfortable in a room with a health system CIO or VP of IT, explaining technical decisions in business terms

Documentation: You maintain engagement playbooks and architecture patterns so the next engagement benefits from what you learned in the last one

Technical Environment:

Our data infrastructure is built on modern cloud technologies including:

• Azure Databricks + Data Factory (plus Fabric and Snowflake integrations)

• PySpark for distributed data processing

• GitHub Actions + Terraform for CI/CD and Infrastructure as Code

• Python with type-safe patterns and modern frameworks

• Healthcare data formats including FHIR, Epic Clarity, and other EHR schemas

Why Join Qualified Health?

This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.

Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation.

Our Commitment to Diversity

Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.

Pay & Benefits: The pay range for this role is between $165,000 and $200,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.

Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.

Notable is the leading healthcare AI platform for transforming workforce productivity. Health systems, hospitals, and payers use Notable to improve healthcare quality, close gaps in patient care, drive member enrollment, and patient acquisition, retention, and reimbursement, scaling growth without hiring more staff.

We are on a mission to improve the lives of patients, staff, and clinicians - to improve healthcare for humanity. This isn't just a lofty goal - it's something we're achieving every single day. When you join Notable, you become part of a force actively transforming healthcare. Our aim to impact 100 million patients isn't just a number; it's a commitment to creating meaningful change on a massive scale.

Therefore, our culture is purposeful in pursuit of this mission. We believe our culture gives each person the opportunity to do the best work of their lives, work with the best teammates, and have fun achieving great things together.

Role Summary:

Notable builds AI-driven automation for healthcare. As a Senior AI Platform Engineer, you will design, build, and maintain LLM integrations that power AI features across Notable’s solutions. You’ll translate ambiguous problem statements into clear, high‑quality technical plans and own delivery end‑to‑end — from ideation and requirements, to implementation, launch, and post‑delivery monitoring — with a focus on scalability, reliability, and measurable impact for our customers. You’ll also leverage AI agents to increase day‑to‑day efficiency and share learnings that raise the overall quality bar across the engineering environment.

What You’ll Do:

• Develop and maintain LLM integrations to power AI features across solutions.

• Ensure scalability, reliability, and performance of AI features in production.

• Translate abstract requirements into structured, sound technical plans and milestones.

• Own implementations end‑to‑end: discovery/requirements → design → build → launch → post‑delivery monitoring/iterating.

• Evaluate and articulate implications and trade‑offs of technical choices.

• Leverage AI agents to improve development velocity and operational efficiency.

• Collaborate across engineering and adjacent teams to share learnings, improve processes, and continuously raise quality.

You’re a Great Fit if:

• Strong proficiency in Python for production software.

• Proficiency with Jupyter Notebook or an equivalent environment (e.g., JupyterLab, Databricks, Colab, etc.).

• Demonstrated experience building, integrating, and operating LLM‑powered features/services.

• Ability to decompose ambiguous problems, write clear technical plans, and execute with high ownership.

• Experience designing for reliability, scalability, and observability in production systems.

• You leverage AI Agents for day-to-day efficiency.

Nice to Have:

• Terraform and Helm Charts for infrastructure and deployment.

• Google Cloud Platform (e.g., GKE, Cloud Run, Cloud Storage).

• Typescript for service or UI integrations.

• Postgres for application data modeling and performance.

• Experience with ML/AI platforms, agents, or orchestration frameworks.

#LI-TD1

We value in-person collaboration and connection. For Bay Area–based employees, this role requires being in our San Mateo office at least three days a week. For remote employees, occasional travel to headquarters is expected for company-wide events and onsite gatherings.

Beware of job scam fraudsters! Our recruiters use @notablehealth.com email addresses exclusively. We do not conduct interviews via text or instant message, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be a recruiter from Notable from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here.