Staff Software Engineer - Prism

About this role

<div class="content-intro"><p>From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.</p></div><p><span style="font-size: 10pt;"><strong>About Us</strong></span></p> <p><span style="font-size: 10pt;">Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.</span><br><span style="font-size: 10pt;">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.</span><br><span style="font-size: 10pt;"> 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.</span><br><span style="font-size: 10pt;"> 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.</span><br><span style="font-size: 10pt;"> 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.</span></p> <p><span style="font-size: 10pt;"><strong>About the Role</strong></span></p> <p><span style="font-size: 10pt;">We are building the next foundational layer of the analytics stack: an Enterprise Context Platform that captures, stores, and exposes organizational decision memory.</span></p> <p><span style="font-size: 10pt;">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 <em>meaning</em>: decisions, intent, rationale, and history — and makes it safely accessible to humans, agents, and applications.</span></p> <p><span style="font-size: 10pt;">This is a greenfield, high-leverage role with company-level impact.</span></p> <p><span style="font-size: 10pt;"><strong>What You’ll Do</strong></span></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Prototype apt technical solutions and find best fits for the context engine. Architect and build the core <strong>Context Platform</strong></span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Design schemas and primitives for <strong>Decision Memory</strong> and enterprise context</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Own context storage systems (graph, vector, event/time-based)</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Build read/write/query APIs used by agents, products, and external apps</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Design permission-aware, auditable context access</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Ensure the context engine is interoperable, portable, and zero-lock-in by design</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Partner closely with agentic systems engineers and product leadership</span></li> </ul> <p><span style="font-size: 10pt;">What You’ll Own</span></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Context schemas and schema evolution strategies</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Storage and data modeling choices</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Platform APIs and interfaces</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Security, identity propagation, and audit foundations</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Long-term scalability and correctness of context data</span></li> </ul> <p><span style="font-size: 10pt;">What You Won’t Own</span></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Agent behavior or orchestration logic</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Business rules…