| Location | South Jordan, UT |
Databricks SQL and Analytics Engineer
Job Summary
The Databricks SQL and Analytics Engineer sits between the data platform and the people asking questions of it. This role builds the curated gold layer models, the metrics definitions, and the dashboards that business teams rely on, and makes sure the numbers hold up when someone checks them. It is the right role for a strong SQL practitioner who cares about how the business actually uses the output.
Key Responsibilities
Build and maintain curated analytics models and gold layer tables using SQL and Databricks SQL
Define and document metrics so the same question returns the same answer regardless of who asks
Develop dashboards and self service datasets in Databricks SQL, Power BI, or Tableau
Tune SQL warehouse sizing, caching, and query performance for interactive workloads
Implement testing and data quality checks on analytics models
Partner with business stakeholders on requirements and translate ambiguous asks into specific definitions
Enable self service consumers through documentation, training, and sensible dataset design
Required Skills
4+ years in analytics engineering, business intelligence development, or data engineering
Advanced SQL including window functions, complex joins, and query optimization
Hands on experience with a modern BI platform such as Power BI, Tableau, or Looker
Understanding of dimensional modeling and how to design for consumption
Version controlled development practice using Git
Strong stakeholder communication and requirements gathering skills
Preferred Skills
Databricks Certified Data Analyst Associate
Experience with dbt on Databricks
Working knowledge of Unity Catalog governance as it applies to analytics consumers
Python for automation and lightweight transformation work
Experience with semantic layer tooling and metric stores
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