Staff Software Engineer - Prism

About Us

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data - from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

About the Role

We are building the next foundational layer of the analytics stack: an Enterprise Context Platform that captures, stores, and exposes organizational 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.

What You'll Do

• 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

What You'll Own

• Context schemas and schema evolution strategies
• Storage and data modeling choices
• Platform APIs and interfaces
• Security, identity propagation, and audit foundations
• Long-term scalability and correctness of context data

What You Won't Own

• Agent behavior or orchestration logic
• Business rules or governance policy decisions
• Product UI or workflow automation

(Those are consumers of the platform you build.)

Skills We're Looking For

• 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

Bonus Skills (Optional)

• 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

Why This Role Matters

If this platform is built correctly:

• Agents become trustworthy
• Governance scales without slowing teams down
• We become the System of Decision for analytics

This role lays the foundation for the next S-curve of the company.

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