Hone Health

Telehealth clinic for longevity and prevention

Data Architect

Data EngineeringConfirmed live in the last 24 hours

Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

10+ years of experience in a highly technical data role (data engineering, data architecture, or equivalent)
Hands-on expertise with PySpark
Hands-on expertise with Python
Hands-on expertise with SQL
Hands-on expertise with dbt
Hands-on expertise with Microsoft Fabric (or a directly comparable lakehouse platform)
Demonstrated experience building medallion architectures and production-grade data pipelines
Experience creating or deploying AI-powered tools or skills for business users (experience with Claude or similar LLM platforms a strong plus)
Deep understanding of marketing analytics, product analytics, and financial analytics in the context of a growth-stage DTC subscription business
Proven ability to partner with non-technical leaders to define shared data definitions and business context
Experience mentoring and leading data teams across multiple disciplines
Growth-stage startup experience required; comfort with ambiguity, shifting priorities, and building from zero to one
Must be authorized to work in the United States; visa sponsorship is not available for this role

Responsibilities

Lead the architecture and implementation of a medallion lakehouse in Microsoft Fabric, establishing bronze, silver, and gold layers that power self-serve analytics across the organization
Design and build Claude projects and skills that allow marketing, product, and finance stakeholders to query and interpret data independently
Partner with organizational leaders to define, document, and maintain a canonical business lexicon and data context that inform the self-serve BI platform and ensure consistent interpretation across teams
Create and maintain robust data ingestion pipelines to ensure reliable, timely data flow from source systems into the lakehouse
Build data models and BI dashboards as needed to support marketing analytics, product analytics, and financial analytics for a subscription DTC business
Establish and enforce data governance protocols, including lineage, documentation, quality checks, and access controls
Mentor and develop a cross-functional team of data engineers, analytics engineers, and BI analysts, setting technical standards and guiding best practices
Collaborate with stakeholders across growth, product, finance, and clinical teams to translate business questions into scalable data solutions

Desired Qualifications

Experience with machine learning or predictive modeling
Healthcare or health-tech experience
Experience deploying AI-powered tools or skills for business users (Claude or similar LLM platforms a strong plus)
Claude or similar large language model platforms experience a strong plus

About Hone

Hone is an online medical clinic at the forefront of transforming healthcare and enhancing longevity. We use cutting-edge scientific advancements to empower men and women to take control of their health and unlock their full potential. Our people are the heart of everything we do and drive our success. We approach every project through our brand values:

Fight for the Customer
Execute Ruthlessly
Communicate Candidly, Clearly, and Kindly
Collaborate Selflessly
Practice Calculated Risk-Taking
Maximize Joy and Gratitude

Hone has been fully virtual from day one and will continue to be a remote-first employer.

Our Ideal Candidate

Our ideal candidate is a mission-driven, motivated multi-tasker who is invested in work that is fulfilling and impactful. They embrace change and tackle challenges with enthusiasm. They have an “all-in” disposition towards work, understanding that we are a fast-paced, high-growth organization with evolving priorities. They can excel at both independent tasks and collaborative work, leading with clear and candid communication. They exhibit humble leadership—the ability to drive initiatives forward while remaining excited about continuous learning and development opportunities. They feel strongly about being part of a team that advocates for people to live longer and better lives.

Responsibilities

Lead the architecture and implementation of a medallion lakehouse in Microsoft Fabric, establishing bronze, silver, and gold layers that power self-serve analytics across the organization.
Design and build Claude projects and skills that allow marketing, product, and finance stakeholders to query and interpret data independently.
Partner with organizational leaders to define, document, and maintain a canonical business lexicon and data context that inform the self-serve BI platform and ensure consistent interpretation across teams.
Create and maintain robust data ingestion pipelines to ensure reliable, timely data flow from source systems into the lakehouse.
Build data models and BI dashboards as needed to support marketing analytics, product analytics, and financial analytics for a subscription DTC business.
Establish and enforce data governance protocols, including lineage, documentation, quality checks, and access controls.
Mentor and develop a cross-functional team of data engineers, analytics engineers, and BI analysts, setting technical standards and guiding best practices.
Collaborate with stakeholders across growth, product, finance, and clinical teams to translate business questions into scalable data solutions.

Qualifications

10+ years of experience in a highly technical data role (data engineering, data architecture, or equivalent).
Hands-on expertise with PySpark, Python, SQL, dbt, and Microsoft Fabric (or a directly comparable lakehouse platform).
Demonstrated experience building medallion architectures and production-grade data pipelines.
Experience creating or deploying AI-powered tools or skills for business users (experience with Claude or similar LLM platforms a strong plus).
Deep understanding of marketing analytics, product analytics, and financial analytics in the context of a growth-stage DTC subscription business.
Proven ability to partner with non-technical leaders to define shared data definitions and business context.
Experience mentoring and leading data teams across multiple disciplines.
Growth-stage startup experience required; comfort with ambiguity, shifting priorities, and building from zero to one.
Healthcare or health-tech experience a plus.
Experience with machine learning or predictive modeling a plus.
Must be authorized to work in the United States; visa sponsorship is not available for this role.

Benefits*

Hone wants our team to be in the best condition of their lives, so we offer a range of benefits including:

A remote-first work environment
Competitive compensation and equity options
Health, dental, and vision insurance coverage
Short-term disability and basic life coverage
Flexible Spending Accounts (FSAs)
Lifestyle Spending Accounts (LSAs)
We follow federal holidays and have uncapped time off for exempt employees
Budget for the technology tools you need (laptop, monitor, and/or special software)
A focus on company-sponsored activities to foster engagement (both virtual and in-person)
Waived membership fees for any Hone team members utilizing Hone products

*These benefits are available to full-time, regular employees, and not to independent contractors, part-time employees, temporary employees, or interns.

We are proud to be an equal-opportunity workplace committed to building a team culture that celebrates diversity and inclusion. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions. Please contact us to request accommodation.

About the Company

Hone Health

Telehealth clinic for longevity and prevention

Hone Health provides online telehealth services focused on preventive health, longevity, and energy optimization for adults. Clinicians conduct virtual visits, assess health risks, order or review labs as needed, and create personalized prevention and wellness plans. The service emphasizes a proactive, stigma-free approach to self-care and centers on long-term wellness for both men and women through accessible virtual care. Its goal is to reduce disease risk and improve quality and length of life by making preventive care easy and convenient.

Company size: 201-500
Company stage: Series A
Total funding: $48.8M
Headquarters: New York City, New York
Founded: 2018

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