Data Platform Manager

Project overview

Job Title: Data Platform Manager

Responsibilities

performance, growth, coaching, and retention.

Data. Turn ambiguous business needs into a sequenced, staffed plan and be

accountable for delivery against it.

Review designs, force the right trade-off conversations, and know when to

overrule and when to defer.

raising the bar. Build the team the platform needs two quarters from now.

health, incident response, and warehouse cost as a first-class metric.

forward-deployed engineering, and customer-facing teams; represent the

platform to executives and, when needed, to enterprise customers.

it where it does not: planning cadence, review practices, and quality bars

appropriate to a startup, not a big company.

AI development tooling (Claude Code and similar) into how the team builds,

reviews, and operates, and hold a bar for using it well.

What You Will Bring

including 2+ years directly managing engineers with clear ownership of

outcomes (delivery, performance management, hiring).

historically. You can pass our coding screen and hold your own in a

systems design discussion about warehouses, orchestration, and pipeline

failure modes.

platforms: warehouse architecture (Snowflake or similar), orchestration

(Temporal, Airflow, or similar), and transformation frameworks

(SQLMesh/dbt).

well, grew people, and made at least one hard people call you can talk

about honestly.

push back with business framing, and keep relationships intact when you

say no.

shifting priorities, and being close to the work.

• Manage a team of 4–6 data platform engineers:
• Own the team roadmap with product and the Head of
• Set architecture direction with your senior ICs.
• Own hiring: sourcing, interviewing, closing, and
• Run production: reliability, SLAs, on-call
• Operate across the org. Partner with DS/ML,
• Build process where it creates leverage and kill
• Drive an AI-native engineering culture. Integrate
• 8+ years in data or backend engineering,
• Genuine hands-on capability today, not
• Direct experience operating production data
• Evidence of building or scaling a team: hired
• Stakeholder range: you manage up with judgment,
• Startup metabolism: comfortable with lean teams,

Project details

New York, NY (3 Days onsite)

Full-time

Job 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.

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.

• Start: flexible
• Location: New York, NY, US, US