Data Modeler

• 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

• 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)

At Vuori, we’re proud to offer the following to our employees:

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

The salary range for this role is $137,300 per year - $176,610 per year. This role is bonus eligible.