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. What you'll get to do: • 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 Who you are: • 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) Additional Information Our investment in you: 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.