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About the Role:

  • Architect and build the durable memory substrate that powers agentic analytics workflows.
  • Store not just metadata, but meaning: decisions, intent, rationale, and history.
  • Build read/write/query APIs used by agents, products, and external apps.

What You’ll Own:

  • Context schemas and schema evolution strategies.
  • Storage and data modeling choices.
  • Security, identity propagation, and audit foundations.

What We’re Looking For:

  • Significant experience building distributed systems, data platforms, or infrastructure.
  • Deep expertise in data modeling and schema design.
  • Strong instincts around APIs, contracts, and backward compatibility.

Dbt Labs

dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. They have grown into the leading analytics engineering platform and serve more than 5,400 dbt Platform customers.

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