About Us
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.
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.
We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:
- Reliable, high-quality data is the fuel that propels AI-powered data engineering.
- AI is changing data work, fast. dbt’s data control plane keeps data engineers ahead of that curve.
- We empower engineers to deliver reliable, governed data faster, cheaper, and at scale.
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 values.
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
- 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
- Agent behavior or orchestration logic
- Business rules or governance policy decisions
- Product UI or workflow automation
(Those are consumers of the platform you build.)
What 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
- 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
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.
dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.
Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page.
dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. RSUs or comparable benefits may be offered depending on the legal or country limitations.
Top Skills
What We Do
At dbt Labs, we make data work. Our open-source software, dbt, enables anyone who knows SQL to engineer, document, and test data pipelines. By empowering analysts to work like and with data engineers, dbt drastically increases an organization's ability to model and serve analytics. We’ve built a community of 100,000+ people and are backed by top investors including Andreessen Horowitz and Sequoia Capital. dbt is already used and loved by thousands of companies and dbt Cloud enables this workflow at scale.
dbt Labs headquarters are in Philadelphia, Pennsylvania, but we are a distributed team and advocate for a remote-first culture. We want our people to work from the places where they are happiest, healthiest, and most inspired to do great things.
Why Work With Us
At dbt Labs, we bring our whole selves to work. We bring our interests and experiences, our cultural influences, our physical and emotional needs, our communication styles and lifestyles, our values, and our curiosity. We have built a lot of trust in each other, and we work hard to be worthy of it.
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