Senior Customer Solutions Engineer - US

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. 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 .

dbt Labs is on a mission to help analysts create and disseminate organizational knowledge. As a Senior Customer Solutions Engineer , you’ll serve as a frontline problem solver, working deeply across our customer base to guide them through complex technical challenges with empathy, clarity, and precision. You’ll work at the intersection of technical troubleshooting, customer education, and internal escalation, and play a critical role in helping our users succeed with dbt.

What You’ll Be Responsible For:

• Diagnosing and resolving technically complex issues related to dbt, SQL queries, templating languages (Jinja/Liquid), and cloud data platforms.
• Clarifying customer goals and context before jumping into solutions — ensuring that any workaround or fix is anchored in what the customer truly needs.
• Root cause analysis — narrowing down issues quickly and precisely, resulting in faster time-to-resolution or high-quality escalation to engineering.
• Communication excellence — setting expectations, providing timely updates, and ensuring that even long-running cases resolve with high customer satisfaction.
• Bringing others along — explaining why something is happening, not just what’s happening, in a way that builds trust and shared understanding.
• Creating documentation and internal enablement material that help the broader team level up and improve efficiency across the support org.

Success Looks Like:

• You understand how dbt fits into the modern data stack , and how our users use dbt in concert with othe