Senior Software Engineer

<div class="content-intro"><p><strong>About Us </strong></p> <p>dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases. </p> <p>As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers, including Astra Zenica, Sky, Nasdaq, Volvo, JetBlue, and SafetyCulture. </p> <p>We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:</p> <ul> <li>Reliable, high-quality data is the fuel that propels AI-powered data engineering.
</li> <li>AI is changing data work, fast. dbt’s data control plane keeps data engineers ahead of that curve.</li> <li>We empower engineers to deliver reliable, governed data faster, cheaper, and at scale.</li> </ul> <p>dbt Labs is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world. And we’re just getting started.. We’re growing fast and building a team of passionate, curious people across the globe. Learn more about what makes us special by checking out our <a href="https://www.getdbt.com/about-us/values">values</a>.</p></div><h2>About the Role</h2> <p>We are building the next foundational layer of the analytics stack: an <strong>Enterprise Context Platform</strong> that captures, stores, and exposes organizational decision memory.</p> <p>As a seasoned engineer on Context Platform Systems, you will architect and build the <strong>durable memory substrate</strong> 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.</p> <p>This is a greenfield, high-leverage role with company-level impact.</p> <hr> <h2>What You’ll Do</h2> <ul> <li>Prototype apt technical solutions and find best fits for the context engine. Architect and build the core <strong>Context Platform</strong></li> <li>Design schemas and primitives for <strong>Decision Memory</strong> and enterprise context</li> <li>Own context storage systems (graph, vector, event/time-based)</li> <li>Build read/write/query APIs used by agents, products, and external apps</li> <li>Design permission-aware, auditable context access</li> <li>Ensure the context engine is interoperable, portable, and zero-lock-in by design</li> <li>Partner closely with agentic systems engineers and product leadership</li> </ul> <hr> <h2>What You’ll Own</h2> <ul> <li>Context schemas and schema evolution strategies</li> <li>Storage and data modeling choices</li> <li>Platform APIs and interfaces</li> <li>Security, identity propagation, and audit foundations</li> <li>Long-term scalability and correctness of context data</li> </ul> <hr> <h2>What You Won’t Own</h2> <ul> <li>Agent behavior or orchestration logic</li> <li>Business rules or governance policy decisions</li> <li>Product UI or workflow automation</li> </ul> <p>(Those are consumers of the platform you build.)</p> <hr> <h2>What We’re Looking For</h2> <ul> <li>Significant experience building distributed systems, data platforms, or infrastructure</li> <li>Comfort operating in ambiguous, greenfield problem spaces</li> <li>Deep expertise in data modeling and schema design</li> <li>Experience designing shared platforms used by many teams</li> <li>Strong instincts around APIs, contracts, and backward compatibility</li> <li>Ability to reason about systems, not just components</li> </ul> <hr> <h2>Nice to Have</h2> <ul> <li>Experience with knowledge graphs, metadata systems, or search/retrieval systems</li> <li>Experience building systems with governance, auditability, or ... (truncated, view full listing at source)