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 heterogeneous source systems, messy integrations, inconsistent data models, and real business logic embedded in pipelines. The complexity of what you’ve worked with matters far more than the volume or scale Cross-domain background is a plus; if you’ve built complex data platforms across different business contexts, that breadth is an asset. Experience in regulated domains (healthcare, financial services, etc.) is helpful but not required 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. Using Copilot for autocomplete is not the bar. You have opinions about where AI is reliable, where it isn’t, and how it changes what a data platform needs to be 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 Overview :  Financial Well-Being : Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions. Physical Well-Being : We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare. Mental Well-Being : We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location.  Professional Development : Developing internal talent is a p