Staff Software Engineer - Prism

Fivetran Fivetran · Data AI · Bangalore, India · Engineering Department

Fivetran is building an Enterprise Context Platform to store and expose organizational decision memory, powering agentic analytics workflows. This role will architect and build the core platform, focusing on data modeling, storage systems (graph, vector, time-based), and APIs for accessing meaning (decisions, intent, rationale, history) safely for humans and agents. The platform aims to make agents trustworthy, scale governance, and become the system of decision for analytics.

What you'd actually do

  1. Prototype apt technical solutions and find best fits for the context engine. Architect and build the core Context Platform
  2. Design schemas and primitives for Decision Memory and enterprise context
  3. Own context storage systems (graph, vector, event/time-based)
  4. Build read/write/query APIs used by agents, products, and external apps
  5. Design permission-aware, auditable context access

Skills

Required

  • Significant experience building distributed systems, data platforms, or infrastructure
  • Comfort operating in ambiguous, greenfield problem spaces
  • Deep expertise in data modeling 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

Nice to have

  • 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

What the JD emphasized

  • architect and build the durable memory substrate that powers agentic analytics workflows
  • stores not just metadata, but _meaning_: decisions, intent, rationale, and history
  • safely accessible to humans, agents, and applications
  • design permission-aware, auditable context access
  • interoperable, portable, and zero-lock-in by design

Other signals

  • building the next foundational layer of the analytics stack
  • Enterprise Context Platform that captures, stores, and exposes organizational decision memory
  • durable memory substrate that powers agentic analytics workflows
  • stores not just metadata, but _meaning_: decisions, intent, rationale, and history
  • safely accessible to humans, agents, and applications