Resident Architect

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. 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.

• →Work on a variety of impactful customer technical projects - inclusive of implementation, troubleshooting configurations, instilling best practices, and solutioning MVPs and long term solutions to customer specific requirements
• →Consult on architecture and design
• →Ensure our most strategic enterprise customers are adopting the product
• →Collaborate with other internal customer facing teams at dbt Labs - Sales, Solution Architects, Training, Support
• →Provide critical feedback to dbt Labs product and engineering teams to improve and prioritize customer requests and ensure rapid resolution for engagement specific issues
• →Become a product expert with dbt in the context of the modern data stack (if you aren’t already)

• 4+ years experience working with technical data tooling, even better if it is in a customer-facing post-sales, technical architect or consulting role
• Deep expertise in at least one data platform (Snowflake, Databricks, BigQuery, Redshift)
• Experience using, deploying, or configuring dbt in an enterprise setting - working with dbt for minimum 1 year
• Proficiency in writing SQL and python in analytics contexts
• You look forward to building skills in technical areas that support deployment and integration of dbt enterprise solutions to complete customer projects
• Customer focus, embracing one of core values that users are our best advocates
• Strong organizational skills with the ability to manage multiple technical projects simultaneously - including defining scope, tracking timelines, and ensuring deliverables are met.
• Clear and concise communicator with the ability to engage internal and external stakeholders, effectively explain complex technical or organizational challenges, and propose thoughtful, iterative solutions.
• The ability to thrive in a remote organization that highly values transparency and cross-collaboration
• Travel approximately 2-4x/year for customer onsite sessions, team offsites, and company events will be expected

• You have obtained the dbt Analytics Engineering Certification
• You have the ability to advise on dbt enterprise recommendations, and build direction/consensus with the customer to move forward
• Experience with traditional Enterprise ETL tooling (Informatica, Datastage, Talend)

• Interview with a Talent Acquisition Partner
• Hiring Manager Interview
• Technical Task + Presentation
• Team Interview