[Hiring] Sr. Data Modeler @Vuori, Inc

Role Description

We're looking for a Sr. Data Modeler to design and govern the data models that serve as the foundation for analytics, reporting, and business intelligence across the organization — with particular depth in semantic and metrics-layer modeling. Beyond traditional schema design, you'll build the semantic layer that sits between raw data and downstream consumers (dashboards, reverse-ETL syncs, AI-assisted querying), working closely with data engineers, analysts, and business stakeholders to keep definitions consistent everywhere they're used.

• Contribute to the semantic layer strategy — defining metrics, dimensions, and business logic once so they're consistent across BI tools, reverse-ETL syncs, and AI-assisted querying.
• Design serving-layer models as the "source of truth" for business definitions, resolving ambiguity before it reaches dashboards.
• Build and govern semantic views/metrics layers (e.g., Snowflake semantic views, dbt metrics/semantic layer) that let analysts and AI tools query curated data without re-deriving business logic.
• Partner directly with analytics and BI consumers to understand how models get used downstream, and iterate on semantic definitions based on real query patterns.
• Reduce metric drift by auditing existing reports/dashboards for divergent definitions of the same business concept and consolidating them into governed semantic models.

Qualifications

• 5+ years of experience in data modeling or a related field, including experience operating at a senior or technical lead level.
• Experience designing or maintaining a semantic layer or metrics layer (e.g., dbt Semantic Layer, LookML, Snowflake semantic views, Cube) that serves multiple downstream consumers.
• Strong point of view on the difference between a data model and a semantic model, and how to design for both correctness and analyst usability.
• Advanced SQL skills and deep understanding of relational database design.
• Experience modeling data within modern cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
• Experience working with transformation frameworks such as dbt.
• Strong understanding of data governance, metadata management, and documentation practices.
• Excellent communication skills, with the ability to translate business needs into technical designs and explain technical concepts to non-technical stakeholders.
• Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience preferred.
• Foundational background in dimensional modeling (Kimball and/or Inmon) — helpful context, though this role emphasizes semantic/metrics layer design over traditional schema work.
• Experience with data catalog or governance tools (e.g., Collibra, Alation, Atlan).
• Familiarity with data mesh or data product concepts.
• Background in a specific industry domain relevant to the business (e.g., finance, healthcare, retail).

Benefits

• Health Insurance
• Savings and Retirement Plan
• Employee Assistance Program
• Generous Vuori Discount & Industry Perks
• Paid Time Off
• Wellness & Fitness benefits