Job DescriptionWe'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
QualificationsWho 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 InformationOur 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.
