Senior Platform Engineer, Storage

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 AstraZeneca, Sky, Nasdaq, Volvo, JetBlue, and SafetyCulture. We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter.

About the Role

We are looking for a Senior Platform Engineer specializing in Storage Services to help us build a seamless, reliable platform for dbt Cloud across AWS, Azure, and GCP. Our team’s mission is to reduce cognitive load for developers by providing a stable, observable, and easy-to-use infrastructure platform.

Over the past year, we’ve designed and operationalized a next-gen cell-based architecture, scaling dbt Cloud across all three cloud providers. Now, we’re focused on automation, self-service, and improving developer velocity through better tooling, processes, and infrastructure design. Specifically we’ll be focusing on the improving the components of the storage platform we’ve developed today, while building new components to enable product feature development.

As a Senior Engineer on our team, you’ll drive projects that refine and scale our storage platform, ensuring performance, reliability, and a great developer experience. You’ll collaborate across teams, solve real infrastructure challenges, and help shape the future of multi-cloud dbt Cloud.

In this role, you can expect to:

• Design, operate, and scale storage based infrastructure systems across multiple tenancy models (single vs. multi-tenant) and public clouds (AWS, Azure, and GCP).
• Deepen our team’s expertise in one more areas including: relational databases, search, caching, queuing, and streaming - helping strengthen platform scalability, security, and developer experience.
• Partner with Architecture, Release Engineering, Network, Compute, and Security teams to provide a seamless platform for application teams.
• Leverage tools and languages such as Terraform, Kubernetes, Helm, Argo CD, Python, SQL, Go, Bash, and Datadog.
• Participate in a balanced on-call rotation in an environment that values continuous improvement, helping to improve reliability and reduce operational toil.

You are a good fit if you have:

• Significant experience designing and operating relational data and object storage platforms in production.
• Hands-on experience with one or more cloud providers (AWS, Azure, GCP) and declarative Infrastructure as Code (Terraform preferred).
• Programming/scripting ability in Python, Go, Rust or Bash.
• Excellent communication skills and experience working asynchronously on a fully remote, distributed team.

You'll have an edge if you have:

• Experience building