AtScale is the semantic layer for modern data and AI. We bridge the gap between complex cloud data platforms—like Snowflake, Databricks, and Google BigQuery—and the business users who need consistent, AI-ready analytics. We are looking for a DevOps Engineer to help us redefine how the world handles business intelligence.
In this role, you will:
Ready to build the future of data? Visit www.atscale.com to learn more.

AtScale is the universal semantic layer platform that bridges the gap between business users, analysts, data scientists, and the modern data stack. We empower organizations to deliver governed, AI-ready analytics at scale across every BI and AI tool without moving or duplicating data.
With AtScale, enterprises can:
- Define and govern consistent business metrics across Power BI, Tableau, Excel, and other analytics tools
- Enable trusted GenAI experiences with natural language querying, semantic context, and consistent metric definitions
- Optimize cloud warehouse costs by eliminating redundant data movement and accelerating queries
- Unify modeling workflows with our open-source Semantic Modeling Language (SML), enabling code-first and no-code modeling, version control with Git, and CI/CD integration
- Deliver AI-powered insights by connecting enterprise data to LLM frameworks and advanced machine learning workflows
AtScale integrates seamlessly with modern cloud data platforms including Databricks, Snowflake, Google BigQuery, and Azure Synapse, which empowers organizations to leverage the full value of their data infrastructure
Trusted by enterprises in finance, retail, manufacturing, healthcare, and tech, use AtScale to simplify analytics complexity and ensure data governance while driving better, faster decision-making.
Our platform is built for performance, scalability, and security, supporting sub-second query speeds, intelligent query optimization, and full auditability. Whether enabling self-service BI, consistent enterprise metrics, or AI-driven decision-making, AtScale delivers the foundation for confident analytics at any scale.
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