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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Modeler - **Company:** Vuori, Inc - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $137,300.0 - $176,610.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Logic, BigQuery, Information Systems, Data Governance, Extract Transform Load (ETL), Data Warehousing, Relational Databases, Dimensional Modeling, Meta-Data Management, Raw Data, Sql Optimization, Snowflake, Information Technology, Collibra, Amazon Redshift - **Published:** September 24, 2026 - **Apply:** https://startup.jobs/sr-data-modeler-vuori-inc-10166726 ## About the Role * 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) ## Description * 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 ## Related Videos - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) - [Why Your AI Agent Keeps Hallucinating Your Data: Building Deterministic Context Layers](https://www.wearedevelopers.com/videos/2055-why-your-ai-agent-keeps-hallucinating-your-data-building-deterministic-context-layers) - [Bringing Clarity to Event Streams: Enabling Analytics and AI Through Rich Metadata](https://www.wearedevelopers.com/videos/1616-bringing-clarity-to-event-streams-enabling-analytics-and-ai-through-rich-metadata) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)