Additionalinformation

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.

Vuori is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

All your information will be kept confidential according to EEO guidelines.

Companydescription

Company Description

Vuori is re-defining what athletic apparel looks like: built to move and sweat in but designed with a casual aesthetic to transition into everyday life. We draw inspiration from an active coastal California lifestyle; an integration of fitness, creative expression and life. Our high energy fast paced retail environment is reflected in the clothes we make. We aim to inspire others to take on all aspects of their lives with clarity, enthusiasm and purpose…while having a lot of fun along the way. We are proud to be an outlet for opportunity and for personal growth and success.

Jobdescription

Job 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.

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)