Sr. Data Modeler

Vuori, Inc•Carlsbad, CA

2d•$137,300 - $176,610•Remote

About The Position

Vuori is seeking a Sr. Data Modeler to design and govern data models that underpin analytics, reporting, and business intelligence across the organization, with particular depth in semantic and metrics-layer modeling. The role extends beyond traditional schema design to building the semantic layer between raw data and downstream consumers, including dashboards, reverse-ETL syncs, and AI-assisted querying. The modeler will work closely with data engineers, analysts, and business stakeholders to maintain consistent definitions wherever they are used. The position contributes to semantic-layer strategy by defining metrics, dimensions, and business logic consistently across tools and consumers. It designs serving-layer models as the source of truth for business definitions, builds and governs semantic views and metrics layers, partners with analytics and BI consumers to improve models based on real query patterns, and audits existing reports and dashboards to identify and consolidate divergent metric definitions. The role is remote. The stated annual salary range is $137,300 to $176,610, and the position is bonus eligible.

Requirements

At least 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 or metrics layer serving multiple downstream consumers, such as dbt Semantic Layer, LookML, Snowflake semantic views, or Cube.
Advanced SQL skills and a deep understanding of relational database design.
Experience modeling data within modern cloud data warehouses such as Snowflake, BigQuery, or Redshift.
Experience with transformation frameworks such as dbt.
Strong understanding of data governance, metadata management, and documentation practices.
Excellent communication skills, including the ability to translate business needs into technical designs and explain technical concepts to non-technical stakeholders.

Nice To Haves

A bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience.
Foundational background in dimensional modeling, including Kimball and/or Inmon.
Experience with data catalog or governance tools such as Collibra, Alation, or Atlan.
Familiarity with data mesh or data product concepts.
Background in an industry domain relevant to the business, such as finance, healthcare, or retail.

Responsibilities

Contribute to semantic-layer strategy by defining metrics, dimensions, and business logic consistently across BI tools, reverse-ETL syncs, and AI-assisted querying.
Design serving-layer models that serve as the source of truth for business definitions and resolve ambiguity before it reaches dashboards.
Build and govern semantic views and metrics layers, such as Snowflake semantic views or the dbt metrics/semantic layer, so analysts and AI tools can query curated data without re-deriving business logic.
Partner with analytics and BI consumers to understand downstream model usage and iterate on semantic definitions based on real query patterns.
Audit existing reports and dashboards for divergent definitions of the same business concept and consolidate them into governed semantic models.