Head of Engineering, Data Platform

Head of Engineering, Data Platform

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

You should get in touch if you have:

• An engineering background with deep, hands-on experience in Snowflake and DBT
• Proven experience navigating genuinely complex data environments and deeply heterogene