Director of Engineering, Data
New
A
AllaraWomen’s health
100% remote within the U.S./or 3-day hybrid in NYCFull-TimeDirector
Salary$220,000-$250,000 with opportunities for advancement
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Job Details
- Experience
- 8+ years in data engineering or analytics engineering
- Required Skills
- SQLETLSnowflakeData engineeringData modeling
Requirements
- Have 8+ years in data engineering or analytics engineering.
- Bring direct, recent ownership of production ETL and warehouse modeling.
- Have strong SQL skills and experience with a cloud warehouse; Snowflake is preferred.
- Have experience with ETL tooling and a transformation and modeling layer.
- Have a track record of making brittle, duplicated, or undocumented pipelines reliable, documented, and trusted.
- Demonstrate strong data modeling fundamentals and a bias toward a single source of truth.
- Have experience designing data governance and handling sensitive data.
- Be comfortable with security and access control in a regulated environment.
- Healthcare or HIPAA experience, including familiarity with EMR data (FHIR) and claims, is preferred.
- Experience with D2C growth metrics is preferred.
- Experience with Amplitude, product event taxonomy, or AI/LLM-assisted analytics is preferred.
- Experience building and managing a data team at a high-growth startup is preferred.
Responsibilities
- Audit and stabilize ETL pipelines across Fivetran and Mozart into Snowflake.
- Consolidate duplicated models, metrics, and transformation logic into a documented modeling layer.
- Map collected data against business needs and close source-data gaps.
- Establish data-quality testing, monitoring, and alerting.
- Define a canonical metric and semantic layer.
- Shape data strategy and advise leadership on tooling, investments, and build-versus-buy decisions.
- Own data governance, access control, and PHI and PII handling.
- Enable trustworthy self-serve analytics for departmental stakeholders and data analysts.
- Own the shared AI-ready data layer and canonical terminology definitions.
- Hire, mentor, and lead the data engineering function over time.
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