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.

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.

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

appropriate to a startup, not a big company.

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

years directly managing engineers with clear ownership of outcomes

(delivery, performance management, hiring).

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).

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

honestly.

back with business framing, and keep relationships intact when you say no.

shifting priorities, and being close to work.

A reasonable, good faith The anticipated base pay

compensation range for this position is $200,000.00 to $260,000.00 per year as base

Benefits: Full time employees are eligible

For Health Insurance, Paid Time Off, and 401k match

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

• 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 health,
• Operate across the org. Partner with DS/ML,
• Build process where it creates leverage and kill it
• Drive an AI-native engineering culture. Integrate AI
• 8+ years in data or backend engineering, including 2+
• Genuine hands-on capability today, not historically.
• Direct experience operating production data
• Evidence of building or scaling a team: hired well,
• Stakeholder range: you manage with judgment, push
• Startup metabolism: comfortable with lean teams,
• The pay range listed above reflects the expected

Project details

New York NY 10007 - Hybrid, 3 days in the

office, generally midweek.

Perm/FTE role

Job Description

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.

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.

• You
• This
• Start: flexible
• Remote: hybrid
• Location: New York, NY, US, US