Senior Data Platform Engineer

Posted 2 Days Ago
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New York City, NY, USA
Hybrid
155K-200K Annually
Senior level
Beauty • Consumer Web • eCommerce
The Role
Own Hazel’s end-to-end data platform, including ingestion, transformation, orchestration, reliability, and warehouse performance. Build low-latency, reliable pipelines and clean data models, ship integrations for e-commerce and advertising sources, and automate integration and transformation work using AI agents. The role requires production ownership of large-scale data infrastructure, strong Python, SQL, and dbt expertise, orchestrator experience, and effective documentation.
Summary Generated by Built In
About Hazel

Hazel is the AI coworker for consumer brands. We connect to a brand's live data — Shopify, Klaviyo, Amazon, Meta, and dozens of others — and turn it into a teammate operators talk to every day. Ask "why did repeat purchase rate drop last week?" and 10 seconds later you get an answer, cited from live data.

Hazel also takes action herself, proactively flagging issues and making changes directly in Shopify and the other systems she connects to, on the way to running full playbooks autonomously.

We’ve raised more than $2M, are rapidly scaling and serving some of the biggest consumer brands including Bogg Bag, Ultra, and OneSkin.

 
Why this role exists

Hazel’s intelligence is built on top of a data warehouse meticulously tailored for consumer brands. We’re moving a massive amount of data and the owner of this layer plays a direct part in how users interact with Hazel.

Our data layer is tens of terabytes of data and thousands of data tables, and customers expect perfect sync reliability, new integrations to be built in days, and for every answer Hazel gives to be correctly grounded in data.

 
The stack

Experience with our stack is a bonus, but similar experience working on problems at our scale is required:

  • dbt

  • Temporal

  • dltHub

  • Duckdb / Motherduck

  • Dagster

 
What you'll do

You own the data platform end to end — ingestion, transformation, orchestration, and the reliability of all three.

As importantly, you’ll need to further develop our existing AI agents that write, build, and test new integrations end-to-end. Automating your job is the only way you will scale it.

 

Beyond that you’ll:

- Own data platform reliability as we scale

- Optimize ingestion pipelines for low-latency data availability, ensuring consistent performance during peak seasonal surges.

- Build our data transformation layer so Hazel has clean, predictable data to work with.

- Automate your own job, especially the data integrations and transformations

- Ship new source integrations end to end

 
Who we're looking for

- 4+ years building production data infrastructure, with real ownership of a warehouse someone else depended on.

- Deep understanding of dbt and SQL. You have opinions about grain, incrementality, and data modeling.

- Strong Python. Our ingestion layer is code you'll be writing, not a UI you'll be clicking.

- You've owned an orchestrator in production — Dagster, Airflow, Temporal, Prefect, whatever it is.

- AI-native in practice. You use coding agents to do the work of a much larger team, and you can tell us where they helped and where they made things worse.

- You write documentation well, because here it's a feature.

- Comfortable being the only person who does this job, and equally comfortable making sure that stops being true.

 

Nice to have: Experience with open table formats, e-commerce/DTC data (Shopify, Klaviyo, Amazon SP-API, ad platforms), and designing multi-tenant warehouses.

 
Comp & benefits

- $155–200K base

- 0.15–0.25% equity

- Top-tier health, dental, vision

- 401(k)

- Unlimited PTO

- Hybrid in NYC

 
How we hire

- 15-min intro

- Founder call

- Systems design and case study

- Onsite

Skills Required

  • 4+ years building production data infrastructure
  • Experience owning a production data warehouse that others depended on
  • Deep understanding of dbt and SQL, including data grain, incrementality, and data modeling
  • Strong Python programming skills for ingestion development
  • Production experience owning a data orchestrator such as Dagster, Airflow, Temporal, or Prefect
  • Practical experience using coding agents or AI agents to improve engineering productivity
  • Strong technical documentation skills
  • Ability to independently own the data platform while helping scale the team
  • Experience with open table formats
  • Experience with e-commerce or direct-to-consumer data, including Shopify, Klaviyo, Amazon SP-API, or advertising platforms
  • Experience designing multi-tenant data warehouses
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The Company
5 Employees
Year Founded: 2019

What We Do

Hazel is a women’s personal-care brand focused on making femme care more comfortable, stylish, and confidence-building across life stages. Its flagship High & Dry disposable briefs are designed for urinary incontinence, offering absorbency in an underwear-like silhouette; the company also sells cleansing wipes. Hazel aims to reduce the shame and alienation surrounding leaks and other traditionally taboo experiences, while serving women from postpartum through menopause and beyond.

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