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. an integration of fitness, creative expression and life. Our high energy fast paced retail environment is reflected in the clothes we make. We are proud to be an outlet for opportunity and for personal growth and success.
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, youll 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 theyre used.
Contribute to the semantic layer strategy — defining metrics, dimensions, and business logic once so theyre consistent across BI tools, reverse-ETL syncs, and AI-assisted querying
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
5+ years of experience in data modeling or a related field, including experience operating at a senior or technical lead level
~ 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., Experience working with transformation frameworks such as dbt
~ Strong understanding of data governance, metadata management, and documentation practices
~ Bachelors degree in Computer Science, Information Systems, or a related field, or equivalent practical experience preferred.
~ Experience with data catalog or governance tools (e.g., Familiarity with data mesh or data product concepts
~ Health Insurance
Savings and Retirement Plan
Employee Assistance Program
This role is bonus eligible.
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.
Sub Department: Data & AnalyticsWorkplace Type: RemoteDepartment: HQ - Technology Compensation: USD - USD - yearly
Data Modellers in remote at Unknown Company
This position is listed as full time and able to be worked remotely.