Adonis

Engineering Manager, Data Platform

Hybrid

Part remote, part office, you need to live within commuting distance of a named location.

Hybrid · New York City

Employer listed it 3 weeks ago · Added yesterday

Been open since 3 weeks ago, still checked daily, but it has been live a while.

Salary

$225,000–$260,000

Location

Hybrid · New York City

Timezone

Not stated

Contract

Full-time

Experience

Mid

Remote flexibility

Hybrid

This role is only partly remote, the employer expects time in the office around New York City, Hybrid, so you need to live within commuting distance.

What the employer says

Source listing states candidate location: "New York City, Hybrid"
Listing mentions "Hybrid"

What Nomaders makes of it

Not suitable if you plan to move between countries

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

About the role

The Role

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.

What You Will Bring

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 up 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 the work.

Nice to Have

Healthcare data experience: EHR integrations, claims (837/835), HL7/FHIR, PHI/HIPAA operating constraints.

Experience owning warehouse cost management, RBAC/governance, or vendor relationships (Snowflake, Fivetran).

Prior player-coach roles at Series A–C companies.

The base salary range for this position is $225,000 to $260,000. Base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we offer an annual bonus program, company equity, and a competitive benefits package.

Requirements

·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 up with judgment, push back with business framing, and keep relationships intact when you say no.

Benefits

·Competitive equity packages
·Employer-paid medical insurance
·Employer-paid dental insurance
·Employer-paid vision insurance
·Employer-funded HSA

How to apply

1Check the flexibility label above, hybrid, matches where you plan to live and work.
2Tailor your CV to the role at Adonis, mentioning your remote working experience.
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 1d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.