Data Architect

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

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.