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Salary
$27k – $70k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior
Overview
Company
Impact
Profile match
dbt Labs is the company behind dbt, the leading analytics engineering platform that enables data teams to transform, test, and document data directly in the warehouse using software engineering best practices. Trusted by thousands of organizations, dbt helps analysts and data engineers build reliable, version-controlled data models that power analytics, reporting, and decision-making. By bringing modularity, testing, and collaboration to the analytics workflow, dbt Labs makes data more trustworthy, scalable, and easier to work with across the entire organization.

We are building the next foundational layer of the analytics stack: an Enterprise Context Platform that captures, stores, and exposes organisational decision memory. As a seasoned engineer on Context Platform Systems, you will architect and build the durable memory substrate that powers agentic analytics workflows. This platform stores not just metadata, but meaning: decisions, intent, rationale, and history and makes it safely accessible to humans, agents, and applications. This is a greenfield, high-leverage role with company-level impact.

Responsibilities:

  • Prototype apt technical solutions and find best fits for the context engine.
  • Architect and build the core Context Platform.
  • Design schemas and primitives for Decision Memory and enterprise context.
  • Own context storage systems (graph, vector, event/time-based).
  • Build read/write/query APIs used by agents, products, and external apps.
  • Design permission-aware, auditable context access.
  • Ensure the context engine is interoperable, portable, and zero-lock-in by design.
  • Partner closely with agentic systems engineers and product leadership.

Requirements:

  • Significant experience building distributed systems, data platforms, or infrastructure.
  • Comfort operating in ambiguous, greenfield problem spaces.
  • Deep expertise in data modelling and schema design.
  • Experience designing shared platforms used by many teams.
  • Strong instincts around APIs, contracts, and backward compatibility.
  • Ability to reason about systems, not just components.
  • Experience with knowledge graphs, metadata systems, or search/retrieval systems.
  • Experience building systems with governance, auditability, or compliance requirements.
  • Familiarity with dbt or modern analytics stacks or developer tooling.
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