Senior Platform Software Engineer

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 50,000 teams every week. 

As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Cloud customers, including JetBlue, HubSpot, Vodafone New Zealand, and Dunelm. We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:

• Code-based data transformations unlock transparency, flexibility, and collaboration
• Analysts should adopt software engineering best practices to build trusted data products
• Core analytics infrastructure should be open source and user-controlled
• Analytic code—not just tools—should be shared and community-driven

dbt 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.  

dbt Labs is building a resilient and scalable cloud future on a state-of-the-art multi-cell architecture, and we're looking for a Senior Platform Software Engineer to help lead the way.

The Multi-Cell team is at the core of this evolution. We design, build, and operate the foundational platform that allows our services to run in an isolated, highly available, and globally distributed fashion. We are also the architects of the customer migration experience, ensuring a smooth transition to our next-generation infrastructure.

About the Role

As a Senior Platform Software Engineer, you will have an outsized impact on every dbt Labs customer. You will be instrumental in shaping the future of our cloud infrastructure, with a direct influence on the reliability and scalability of our entire product suite. This is a hands-on role where you will tackle complex distributed systems problems, build sophisticated automation, and empower other engineering teams to innovate on top of our multi-cell environments.

We serve some of the largest data-driven organizations, and the quality, reliability, and performance of our multi-cell implementation directly translates to the success of data professionals everywhere.

In this role, you can expect to…

• Join a Senior, Distributed Team (US & Canada): Become part of a closely-knit group of senior engineers at the intersection of application and infrastructure.
• Architect & Build Platform Infrastructure: Design, build, and operate the foundational components of our cutting-edge multi-cell platform, including the regional service routing layer and the control plane for managing account lifecycles.
• Drive Seamless Migrations: Develop and automate the tooling to seamlessly migrate customer accounts from our legacy environment to the new multi-cell architecture.
• Develop Scalable Backend Services: Write robust, high-quality backend services and infrastructure code, primarily in Go and Python, with opportunities to work with Rust.
• Automate for Scale: Design and implement automation using tools like Argo Workflows and Kubernetes to enhance the scale, reliability, and efficiency of our platform and migration processes.
• Champion Best Practices: Lead and implement best practices in Infrastructure as Code (IaC) with Terraform and Helm, CI/CD, and configuration management to ensure a stable and predictable platform.
• Collaborate & Mentor: Work closely with product engineering teams, security, and customer support to unblock feature conformance, define technical direction, and mentor other engineers.
• Own & Troubleshoot: Take strong ownership of our distributed systems, troubleshoot complex issues, and participate in an on-call rotation to maintain high availability and deliver a resilient platform experience. Define tradeoffs and make decisions about what, how, and when we build.

You are a good fit if you have…

• Are an experienced backend or platform engineer, proficient in languages like Go or Python, with a history of building large-scale distributed systems.
• Have deep expertise in modern cloud infrastructure, including extensive hands-on experience with a major cloud provider (AWS, GCP, or Azu