Job Description
Job Title: Data Platform Manager
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Location: New York NY 10007 - Hybrid, 3 days in the office, generally midweek.
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Perm/FTE role
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Looking for someone who is comfortable in a fast moving startup environment and can work across teams rather than operating in a silo.
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Job Description
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- You will lead a Data Platform team as a player-coach: owning the team’s roadmap, delivery, and health while staying technically credible enough to review architecture, unblock hard problems, and contribute directly when the situation calls for it.
- This is a lean-team environment - you cannot operate as a pure management layer. In your first 30 days you should expect to be hands-on in the codebase and pipelines while you build context.
- The team operates on Snowflake, SQLMesh, Temporal, Python, and AWS, with Fivetran for ingestion and Datadog for observability. The mandate spans enterprise EHR extract infrastructure (Epic Clarity, Athena, ODBC-based sources), core entity modeling, hospital health-system readiness, and platform reliability, cost, and governance at growing scale.
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What You Will Do
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- Manage a team of 4–6 data platform engineers: performance, growth, coaching, and retention.
- Own the team roadmap with product and the Head of Data. Turn ambiguous business needs into a sequenced, staffed plan and be accountable for delivery against it.
- Set architecture direction with your senior ICs. Review designs, force the right trade-off conversations, and know when to overrule and when to defer.
- Own hiring: sourcing, interviewing, closing, and raising the bar. Build the team the platform needs two quarters from now.
- Run production: reliability, SLAs, on-call health, incident response, and warehouse cost as a first-class metric.
- Operate across the org. Partner with DS/ML, forward-deployed engineering, and customer-facing teams; represent the platform to executives and, when needed, to enterprise customers.
- Build process where it creates leverage and kill it where it does not: planning cadence, review practices, and quality bars appropriate to a startup, not a big company.
- Drive an AI-native engineering culture. Integrate AI development tooling (Claude Code and similar) into how the team builds, reviews, and operates, and hold a bar for using it well.
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What You Will Bring
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- 8+ years in data or backend engineering, including 2+ years directly managing engineers with clear ownership of outcomes (delivery, performance management, hiring).
- Genuine hands-on capability today, not historically. You can pass our coding screen and hold your own in a systems design discussion about warehouses, orchestration, and pipeline failure modes.
- Direct experience operating production data platforms: warehouse architecture (Snowflake or similar), orchestration (Temporal, Airflow, or similar), and transformation frameworks (SQLMesh/dbt).
- Evidence of building or scaling a team: hired well, grew people, and made at least one hard people call you can talk about honestly.
- Stakeholder range: you manage with judgment, push back with business framing, and keep relationships intact when you say no.
- Startup metabolism: comfortable with lean teams, shifting priorities, and being close to work.
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A reasonable, good faith The anticipated base pay compensation range for this position is $220 K to $260 K with Bonus (15% bonus potential -depending on a variety of factors)
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Equity & Employee benefits will also be available, and details are available like Pension/401K/ Paid Vacation/ Life, Medical & Dental insurance etc.
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* The pay range listed above reflects the expected starting salary /Pay rate for this role. This range may be adjusted based on market conditions, location, and other relevant factors. The Company will determine the final starting salary/Pay rate in consultation with the selected candidate(s), in full compliance with applicable laws
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