Data Architect

About this role

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.