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dbt Labs
6 months ago

Senior Customer Solutions Engineer (United States) dbt Labs

Data transformation tools for organizational knowledge dissemination.

Permanent
Fully-remote
111K to 176K $ a year
> 5 years
6 months ago
Skills we're looking for
Cloud & infrastructure
Communication skills
Collaboration and teamwork
GitHub
GitLab
+11

You'll be part of

United States of America
632 employees
Software
Big Data

Our take

In 2018, dbt Labs founder Tristan Handy was running an analytics company and created a data build tool (or ‘dbt’) to help transform data for analysis. Fast forward one year and dbt Labs was born, offering its tools to help companies everywhere transform their data workflows. Raw data comes in myriad forms and dbt Labs’ software allows data specialists to manage the data transformation layer making its use for analysis much easier. It offers consulting services on top of the software, and has ridden a wave of companies embracing digital transformation more as their services and workplaces become more online. Seen as the de facto standard for modern analytics engineering by many, it reached unicorn status within 2 years of launch and is focusing future efforts on expanding reach to more markets outside of the US. Its 2023 acquisition of Transform, an analytics engineering company, will aid in further developing its product's data transformation capabilities.

You'll be working on

  • Dbt Labs is on a mission to help analysts create and disseminate organizational knowledge. As a Technical Solutions Specialist, 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 succe
  • 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 other tools like Snowflake, BigQuery, GitHub, Airflow, or Okta
  • You consistently solve a high percentage of tickets, handle 6–10 cases per 4-hour shift, and reduce time-to-solution for users
  • You escalate issues with precision, submitting clear, reproducible bugs or feature requests — not vague or misrouted cases
  • Customers consistently rate you highly through CSAT surveys, even when their problems are complex or solutions take time
  • Your documentation is referenced regularly by peers, indicating internal impact and knowledge leadership
  • Within 3 months: You’ll be confidently handling support tickets, building internal documentation, and participating in team knowledge shares
  • At 6 months: You’ll demonstrate growing ownership over support areas, contribute meaningfully to internal process improvements, and be a go-to person for certain technical topics
  • At 12 months: You’ll be shaping our internal support playbooks, leading enablement sessions, and setting the foundation for a potential promotion path into Technical Support Engineer, Solutions Architect, or Product Support leadership — depending on your growth aspirations and the evolving needs of the business
  • You’ll work on complex, high-impact problems in the analytics ecosystem
  • Join a collaborative, deeply curious, and humble support team that prioritizes learning and empathy
  • Access to a rich technical stack, supportive leadership, and the ability to have real influence on both product and process

Benefits

  • Equity Stake
  • Unlimited vacation
  • 401k w/3% guaranteed contribution
  • Excellent healthcare
  • Paid parental leave
  • Home office stipend

We're looking for

  • A collaborative, humble, and detail-oriented teammate who is passionate about helping others succeed
  • Excellent written and verbal communication; able to explain symptoms, root causes, and solutions clearly
  • Comfortable working with distributed teams across time zones — especially cross-region Engineering partners
  • Proven experience troubleshooting SQL queries, templating languages like Jinja or Liquid, and working with YAML configurations
  • Hands-on experience in managing escalations to Engineering, with attention to reproducibility and clarity
  • 5+ years in a technical consulting, advanced support, or software development role within a SaaS environment
  • Prior experience using or supporting dbt
  • Experience with SAML, especially with Azure AD or Okta
  • Working knowledge of API scripting (using access tokens), CI/CD pipelines (GitHub, Gitlab, Azure DevOps), or orchestration tools like Airflow or Dagster
  • Familiarity with Snowflake or BigQuery access models (OAuth, Roles, Grants)
  • Infrastructure fluency — ability to troubleshoot in cloud-hosted VPCs or bastion servers
  • 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

How we hire

  • Interview with a Talent Acquisition Partner
  • Technical Interview with Hiring Manager
  • Technical Task: Complete some follow-up reading and go through a more comprehensive technical screen where you will demonstrate your expertise
  • Team Interviews

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