Head of Engineering, Data Platform

Role Description

Our data platform powers one of healthcare's most ambitious technology transformations. We need a Head of Engineering, Data Platform to own it. This is a builder's role first. You'll set technical strategy and write the code that proves it out, working alongside a small, focused team and reporting directly to the Corporate CTO. The best person for this job still loves the craft, building alongside a small, engaged team of engineers. You'll bring a clear point of view on what a modern data platform should look like, the technical depth to make it real, and the leadership instincts to develop the team around you.

In this role you will:

• Own Platform Strategy & Execution
  • Own the data platform end-to-end — architecture, tooling decisions, and roadmap — with a bias toward enabling broad, self-serve access to data across the business.
  • Be hands-on with Snowflake and DBT, contributing directly alongside the team on builds, migrations, and optimizations.
  • Integrate and rationalize a complex ecosystem of source systems and vendors into a cohesive, reliable data warehouse.
  • Define and evolve our approach to data modeling, including well-reasoned opinions on mart/gold layer design — when to enforce structure and when to get out of the way.
  • Make strategic build vs. buy decisions on tooling and vendor relationships, framing those decisions in terms of business and operational outcomes — not just technical elegance.
• Drive AI-Native Data Platform
  • Design and evolve a data platform that is built for an AI-native organization — pipelines that serve LLM applications, infrastructure that supports agentic workflows, and tooling that compresses what used to take weeks into hours.
  • Use AI actively in your own workflow and bring strong opinions about where AI changes what a data platform needs to do and where it doesn’t.
  • Stay ahead of how AI is reshaping the role of data teams and translate that into concrete platform and staffing decisions.
• Ensure material Business Impact
  • Frame every platform decision in terms of business outcomes — operational efficiency, financial impact, clinical results. The data platform is a strategic enabler, not an isolated technical domain.
  • Partner with business stakeholders to translate data needs into platform capabilities without creating unnecessary friction or access barriers.
  • Make progress and tradeoffs visible to leadership as a natural byproduct of how you work.
• Lead and Develop People
  • Lead and develop a small high-impact team; setting a high bar for craft, communication, and ownership.
  • Think deliberately about team composition: what skills exist today, what gaps need to be filled, and how to sequence hiring to match the platform roadmap.
  • Invest in the growth of your team members, give clear feedback, create opportunities for ownership, and develop people who can grow with the platform.

Success in this role looks like:

• First 90 Days: Develop a clear point of view on the platform's current state. Identify the highest-leverage opportunities. Ship a first step-function improvement or solve a fundamental limitation.
• 6 Months: Team transformation completed. New smaller team operates in a new operating model with substantially higher impact.
• Long Term: Data platform is recognized as a strategic business asset. Team is growing their skills, increasing capacity and insights, and operating with autonomy.

Qualifications

• An engineering background with deep, hands-on experience in Snowflake and DBT.
• Proven experience navigating genuinely complex data environments and deeply heterogeneous source systems, messy integrations, inconsistent data models, and real business logic embedded in pipelines.
• Cross-domain background is a plus; if you’ve built complex data platforms across different business contexts, that breadth is an asset.
• A strong, well-reasoned point of view on data access philosophy; you believe raw data should be broadly available to business users and can defend why.
• You have shipped AI-backed data systems and pipelines serving LLM applications, agentic workflows in data operations, or AI tooling that fundamentally changed what your team could do.
• Action-oriented on governance; you document what matters, automate what you can, and don’t let process become a bottleneck.
• Experience building and developing teams; you think about composition intentionally, hire for gaps, and invest in people’s growth.
• Exceptional communicator; you are clear, direct, and concise with both technical and non-technical audiences.

Benefits

• Financial Well-Being: Competitive base salary and equity opportunities, performance-based bonus program, 401k matching, and regular compensation reviews.
• Physical Well-Being: Comprehensive medical, dental, and vision coverage.
• Mental Well-Being: Initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy.
• Professional Development: Learning programs, mentorship, professional development funding, and regular performance feedback and reviews.
• Additional Perks:
  • Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities.
  • Reimbursement for office setup expenses.
  • Monthly cell phone & internet stipend.
  • Remote-first culture, enabling collaboration with global teams.
  • Paid parental leave for all new parents.
  • And much more!