Director of Engineering, Data

Posted 2 Days Ago
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New York, NY, USA
Hybrid
220K-250K Annually
Senior level
Healthtech
Allara is the virtual care platform closing the gap in women's hormonal and metabolic health.
The Role
Lead Allara’s data engineering strategy and build a reliable, governed data platform. Initially, the role focuses on stabilizing ETL pipelines, consolidating data models, closing source-data gaps, implementing quality monitoring, and establishing canonical metrics. Longer term, the director will own data governance, HIPAA-compliant access controls, AI-ready data infrastructure, self-service analytics, and development of the data engineering team.
Summary Generated by Built In

Allara is a comprehensive women’s health provider that specializes in expert, longitudinal care that supports women through every life stage. Trusted by thousands of women nationwide, Allara makes expert healthcare accessible by connecting patients with multidisciplinary care teams that have a deep understanding of hormonal, metabolic, and reproductive care. Allara provides ongoing support for hormonal conditions like PCOS, chronic conditions like insulin resistance, and life stages like perimenopause, helping patients see improved health outcomes. As one of the fastest-growing women’s health platforms in the U.S., Allara is bridging long-overlooked gaps in healthcare for women.

The Opportunity

Allara is hiring its first Director of Data to build the backbone of how the company collects, models, governs, and uses data. Reporting to the VP of Engineering, this is a hands-on leadership role: in your first months you will be in the pipelines yourself, cleaning up our ETL, consolidating duplicated logic, and closing gaps in our source data. Over time you will define and drive the company's longer-term data strategy, set the standards the rest of the organization builds on, and grow the data function as Allara scales. This is a player-coach role, senior enough to own strategy and still happy to get the pipelines right yourself, and the hands-on work comes first.

Location: Hybrid (NYC). We value in-person collaboration and aim for at least three days per week in our NYC office, with flexibility as needed.

Your Impact
  • Make Allara's data trustworthy, so every team can make decisions on numbers they believe.

  • Turn a fragmented, duplicated data setup into one reliable source of truth with traceable lineage.

  • Define the data strategy that lets Allara scale its use of data, from AI-assisted analysis across departments and leveraging health data to drive better outcomes.

  • Build and lead the data engineering function over time.

  • Partner with Product, Growth, Finance, Strategy, and Clinical as the owner of the shared data platform and standards.

Responsibilities

First 6 to 12 months (hands-on)

  • Clean up the pipelines. Audit our existing ETL across Fivetran and Mozart into Snowflake, stabilize reliability and freshness, and fix the brittle parts the business has learned to work around.

  • Consolidate duplication. Collapse duplicated models, metrics, and transformation logic into a single, well-documented modeling layer, so there is one definition of each number rather than several that disagree.

  • Close source-data gaps. Map what we collect against what the business needs and close the gaps across our systems.

  • Make the data trustworthy. Stand up data-quality testing, monitoring, and alerting.

  • Establish one source of truth. Define a canonical metric and semantic layer

Ongoing (strategy and ownership)

  • Own the data strategy. Shape how Allara collects, models, governs, and uses data as the company scales, and advises leadership on tooling, investments, and build-versus-buy decisions.

  • Own governance and compliance. Own data governance, access control, and PHI and PII handling appropriate for a HIPAA-covered healthcare environment.

  • Own the shared platform. Serve departmental stakeholders and data analysts, as the owner of the platform and standards they build on, and enable trustworthy self-serve analytics.

  • Own AI-ready data. Own the shared, AI-ready data layer and the canonical terminology definitions and skills that power AI-assisted analysis across departments.

  • Build the team. Hire, mentor, and lead the data engineering function over time, setting the technical bar and the practices the team works by.

Required Qualifications
  • 8+ years in data engineering or analytics engineering, including direct, recent ownership of production ETL and warehouse modeling.

  • Strong SQL and a cloud warehouse (Snowflake preferred), ETL tooling, and a transformation and modeling layer.

  • A proven track record of taking over brittle, duplicated, or undocumented pipelines and turning them into reliable, documented, trusted data.

  • Strong data modeling fundamentals and a real 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.

Preferred Qualifications
  • Healthcare or HIPAA experience, including familiarity with EMR data (FHIR) and claims.

  • Experience with D2C growth metrics

  • Experience with Amplitude and product event taxonomy, and 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).

Having these would be advantageous over candidates lacking these qualifications and would potentially allow the candidate to have a greater and/or more immediate impact on the role.

 
 

What Allara Offers

Compensation & Career Growth

  • $220,000-$250,000 with opportunities for advancement

  • Equity

  • Professional development & employee learning programs

Actual compensation will be determined based on a variety of factors, including but not limited to: candidate experience, location, education, certifications, and skill set. In addition to base salary, our total compensation package includes equity, comprehensive health benefits (medical, dental, vision), generous paid time off, and additional wellness and professional development perks.

Work Environment & Flexibility

  • 100% remote within the U.S./or 3-day hybrid in NYC

  • Unlimited PTO & 11 company holidays/ or L1 offerings

Health & Wellness

  • Medical, dental, and vision benefits

  • Health Savings Account (HSA) & Flexible Spending Account (FSA)

  • Long- and short-term disability coverage

  • Annual employee wellness stipend

Family & Future Planning

  • 401(k) plan

  • Parental leave & family planning support benefits

Additional Perks

  • Company-issued laptop

  • Annual work-from-home stipend

  • Commuter benefits (if applicable)

  • A collaborative, mission-driven culture focused on improving patient care

At Allara, we believe in celebrating everything that makes us human and are proud to be an equal-opportunity workplace. We embrace diversity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better we can serve our members. We’re an Equal Opportunity Employer and do not discriminate against candidates or patients based on race, color, gender, sexual orientation, gender identity or expression, age, religion, disability, national origin, protected veteran status, or any other status protected by applicable federal, state, or local law.

Skills Required

  • 8+ years in data engineering or analytics engineering, including recent ownership of production ETL and warehouse modeling
  • Strong SQL, cloud warehouse experience, preferably Snowflake, ETL tooling, and transformation and modeling layer experience
  • Proven experience taking over brittle, duplicated, or undocumented pipelines and making them reliable, documented, and trusted
  • Strong data modeling fundamentals and commitment to establishing a single source of truth
  • Experience designing data governance and handling sensitive data, including security and access control in a regulated environment
  • Healthcare or HIPAA experience, including familiarity with EMR data, FHIR, and claims
  • Experience with direct-to-consumer growth metrics
  • Experience with Amplitude, product event taxonomy, and AI or LLM-assisted analytics
  • Experience building and managing a data team at a high-growth startup
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The Company
HQ: New York, New York
200 Employees
Year Founded: 2020

What We Do

Allara is a virtual care platform for women living with hormonal, metabolic, and gynecological conditions like PCOS, endometriosis, perimenopause, and thyroid disorders. These conditions affect millions of women, yet they remain under-diagnosed and under-treated. The typical patient spends years bouncing between disconnected specialists, repeating her story, and leaving without a clear plan. We exist to fix that broken experience. Allara brings OB/GYNs, Endocrinologists, Nurse Practitioners, and Registered Dietitians onto one connected care team. Instead of treating a single symptom in isolation, our clinicians look at the whole picture, from labs and medication to nutrition and lifestyle, and build a coordinated, evidence-based plan for each member. Care is delivered virtually, on the member's schedule, with the kind of continuity that traditional healthcare rarely offers for these conditions. Making that possible takes serious technology and clinical infrastructure. Our team builds and scales the systems behind the entire member journey: care delivery and messaging, scheduling, clinical and provider workflows, data pipelines, and the member-facing experience. Every part of the product connects directly to how well we can treat people. We treat women's health as the serious, science-backed field it has always deserved to be, and we're growing quickly in a market that legacy healthcare has overlooked for decades. It's a rare combination: a large, meaningful problem, real momentum, and a team small enough that your work is visible and matters.

Why Work With Us

We're a small, fast-moving team where engineers own real systems end to end and ship quickly. Modern stack, meaty problems, and a short line from your work to patient outcomes. If you want to build in a space finally getting the investment it deserves, this is the place.

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