Data Architect

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.