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# Data Platform Manager

- **Company:** Harvey Nash
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $220,000 - $260,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Data Infrastructure, Python (Programming Language), Open Database Connectivity, Operational Databases, Datadog, Claude Code, Snowflake, Build Process, Epic Clarity
- **Published:** October 23, 2026
- **Apply:** https://www.careerboard.com/us/en/find-jobs-in-United-States/-B3BC5A27576965B630/

## About the Role

Looking for someone who is comfortable in a fast moving startup environment and can work across teams rather than operating in a silo., * 8+ years in data or Back End 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.

## Description

* 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.

What You Will Do

 * 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.