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
Location: New York City Metro Area (2 days in office preferred)
About the RoleAs a Solutions Architect (SA) at dbt Labs, you’ll serve as the technical counterpart to our Sales team, playing a critical role in advancing deals and driving value for our prospects. This role supports the NYC region, with a particular focus on NYC-based customers—requiring some in-person engagement both in-office and onsite with customers. As a Solutions Architect, you will lead the evaluation, implementation, and adoption of dbt for our largest enterprise and commercial customers.
What You’ll DoBecome an expert in designing enterprise-grade data pipelines with dbt Cloud
- Work hand-in-hand with sales to communicate the technical value of the dbt Labs suite of products
- Guide customers through proof-of-concept implementations and facilitate trials of dbt Cloud
- Work with engineering to deploy dbt Cloud in private clouds for enterprise clients
- Own the full customer lifecycle from pre-sale evaluation to product adoption and expansion
- Work with product to build and maintain the dbt Cloud enterprise roadmap
- Build close relationships with our Partners (including companies like Snowflake, AWS, and Databricks) and enable them to adopt and implement dbt for their clients
- Be an active member of the dbt community
- 4+ years of sales engineering, solutions architecture, or consulting in data operations, analytics, or BI
- A strong foundation in pre-sales or technical sales, with the ability to quickly learn new technologies—prior experience with dbt is not required.
- A solid technical background, with experience in SQL, ETL, and data modeling
- A firm understanding of and ability to discuss modern data warehousing architectures
- Ability to gather and translate technical and business requirements into concrete solutions
- Excellent verbal, written, and in-person communication skills to discuss complex topics with both technical and non-technical audiences
- Ability to operate in an ambiguous and fast-paced work environment
- A passion for being an inclusive teammate and involved member of the community
- Prior experience working at an analytics, ETL, BI, and/or open-sourced software
- Knowledge of or prior experience with dbt
- Experience with Data Modeling methods such as dimensional, data vault, Kimball, 3NF
- Experience with Data warehousing tooling (Snowflake, Databricks, etc.)
- Experience with leading the technical aspects of the sales cycle, including discovery, solution demos, value articulation, scoping proof-of-value (POV) engagements, executive-level POCs, and final readouts
- Interview with a Talent Acquisition Partner
- Hiring Manager Interview
- Technical Screen
- Team Interviews with a demo
- Unlimited vacation time with a culture that actively encourages time off
- 401k plan with 3% guaranteed company contribution
- Comprehensive healthcare coverage
- Generous paid parental leave
- Flexible stipends for:
- Health & Wellness
- Home Office Setup
- Cell Phone & Internet
- Learning & Development
- Office Space
We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process.
In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York City, San Francisco, Washington, DC, and Seattle), an alternate range may apply, as specified below.
The typical starting salary range for this role is:
dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. 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.
Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page.
dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. Equity or comparable benefits may be offered depending on the legal or country limitations.
Top Skills
What We Do
At dbt Labs, we make data work. Our open-source software, dbt, enables anyone who knows SQL to engineer, document, and test data pipelines. By empowering analysts to work like and with data engineers, dbt drastically increases an organization's ability to model and serve analytics. We’ve built a community of 100,000+ people and are backed by top investors including Andreessen Horowitz and Sequoia Capital. dbt is already used and loved by thousands of companies and dbt Cloud enables this workflow at scale.
dbt Labs headquarters are in Philadelphia, Pennsylvania, but we are a distributed team and advocate for a remote-first culture. We want our people to work from the places where they are happiest, healthiest, and most inspired to do great things.
Why Work With Us
At dbt Labs, we bring our whole selves to work. We bring our interests and experiences, our cultural influences, our physical and emotional needs, our communication styles and lifestyles, our values, and our curiosity. We have built a lot of trust in each other, and we work hard to be worthy of it.
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