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Data Architect

3 months, 1 week ago
United States
Full-time
Lead
Data Architect
Data Science and Analytics
Apache Spark dbt LLM Machine Learning Python SQL
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Hone Health

Hone Health

Hone Health is a telehealth clinic offering hormone optimization, testosterone therapy, and personalized care for men's health through at-home testing and virtual consultations.

Health Care Providers & Services
11-50
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Description

  • Lead the architecture and implementation of a medallion lakehouse in Microsoft Fabric.
  • Design and build Claude projects and skills that enable non-technical stakeholders to query and interpret data independently.
  • Define, document, and maintain a canonical business lexicon and data context for the self-serve BI platform.
  • Create and maintain reliable data ingestion pipelines from source systems into the lakehouse.
  • Build data models and BI dashboards to support marketing, product, and financial analytics.
  • Establish and enforce data governance practices, including lineage, documentation, quality checks, and access controls.
  • Mentor and develop a cross-functional team of data engineers, analytics engineers, and BI analysts.
  • Collaborate with growth, product, finance, and clinical stakeholders to turn business questions into scalable data solutions.

Requirements

  • 10+ years of experience in a highly technical data role such as data engineering or data architecture.
  • Hands-on expertise with PySpark, Python, SQL, dbt, and Microsoft Fabric or a comparable lakehouse platform.
  • 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 is a strong plus.
  • Deep understanding of marketing analytics, product analytics, and financial analytics in 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 is required, with comfort working in ambiguity, shifting priorities, and zero-to-one environments.
  • Healthcare or health-tech experience is a plus.
  • Experience with machine learning or predictive modeling is a plus.
  • Must be authorized to work in the United States; visa sponsorship is not available.

Benefits

  • 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) and Lifestyle Spending Accounts (LSAs).
  • Uncapped time off for exempt employees, with federal holidays observed.
  • Technology budget for tools such as a laptop, monitor, or special software.
  • Company-sponsored activities designed to foster engagement, both virtual and in person.

Interested in this position?

Apply directly on the company website

Apply Now

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