Director of Engineering, Data

Allara•New York, NY

About The Position

Allara is hiring its first Director of Data to build the foundation for how the company collects, models, governs, and uses data. Reporting to the VP of Engineering, this is a hands-on leadership role: initially, the director will work directly on ETL pipelines, consolidate duplicated logic, and address gaps in source data. Over time, the director will define the company’s data strategy, establish standards, and grow the data function as Allara scales. The role is a player-coach position, with hands-on pipeline work taking priority at the outset. The role may be performed remotely within the U.S. or in a three-day-per-week hybrid arrangement in the New York City office. Allara values in-person collaboration while allowing flexibility as needed. The director will make company data trustworthy and traceable, establish a reliable source of truth, and develop a data strategy that supports the company’s growth, including AI-assisted analysis and the use of health data to improve outcomes. They will build the data engineering function over time and partner with Product, Growth, Finance, Strategy, and Clinical teams as owner of the shared data platform and standards. Allara is a women’s health provider offering longitudinal care through multidisciplinary teams, supporting patients with hormonal and metabolic conditions and across life stages. Its work focuses on improving access to expert healthcare and health outcomes for women.

Requirements

At least 8 years of experience in data engineering or analytics engineering.
Direct, recent ownership of production ETL and warehouse modeling.
Strong SQL skills and experience with a cloud data warehouse; Snowflake is preferred.
Experience with ETL tooling and a transformation and modeling layer.
Track record of taking over brittle, duplicated, or undocumented pipelines and making them reliable, documented, and trusted.
Strong data modeling fundamentals and a bias toward a single source of truth.
Experience designing data governance and handling sensitive data, with comfort around security and access control in a regulated environment.

Nice To Haves

Healthcare or HIPAA experience, including familiarity with EMR data (FHIR) and claims.
Experience with D2C growth metrics.
Experience with Amplitude and product event taxonomy.
Experience enabling AI- or LLM-assisted analytics, such as semantic layers, metric catalogs, or Claude skills.
Experience building and managing a data team at a high-growth startup (Series B to D).

Responsibilities

Audit and stabilize existing ETL pipelines across Fivetran and Mozart into Snowflake, improving reliability and data freshness and fixing brittle processes.
Consolidate duplicated models, metrics, and transformation logic into a well-documented modeling layer with consistent definitions.
Map collected source data against business needs and close gaps across systems.
Establish data-quality testing, monitoring, and alerting to make data trustworthy.
Define a canonical metric and semantic layer and establish a source of truth.
Shape how Allara collects, models, governs, and uses data as the company scales; advise leadership on tooling, investments, and build-versus-buy decisions.
Own data governance, access control, and appropriate handling of PHI and PII in a HIPAA-covered healthcare environment.
Own the shared data platform and standards, support departmental stakeholders and data analysts, and enable trustworthy self-service analytics.
Own the shared AI-ready data layer, canonical terminology definitions, and skills that support AI-assisted analysis across departments.
Hire, mentor, and lead the data engineering function over time, setting its technical bar and working practices.
Partner with Product, Growth, Finance, Strategy, and Clinical as the owner of the shared data platform and standards.