dbt Labs
Resident Architect
Job Summary
The role involves leading technical projects and providing architectural consulting to ensure scalable and maintainable data solutions for customers using dbt Cloud. Candidates should have at least 4 years of experience with data tooling, proficiency in SQL and Python, and deep expertise in data platforms such as Snowflake, BigQuery, or Redshift. The position emphasizes customer focus, clear communication, and cross-team collaboration, with opportunities to champion product adoption and provide feedback to product teams. Benefits include unlimited vacation, healthcare, and stipends for personal and professional development.
Required Skills
Benefits
Job Description
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:
Location: United States (East Coast), Remote
About the Role
We’re seeking an experienced Resident Architect (RA) with a passion for solving complex problems using dbt to join our Professional Services team. RAs are billable to dbt Cloud Enterprise customers and play a critical role in advancing our mission to empower data developers to create and share organizational knowledge.
What You'll Do
- Drive customer outcomes
- Lead a variety of impactful technical projects for customers—including implementation, configuration troubleshooting, embedding best practices, and designing both MVPs and long-term solutions tailored to customer needs
- Provide architectural and design consulting to ensure scalable and maintainable implementations
- Champion product adoption for our most strategic dbt Cloud customers by aligning solutions to their goals
- Collaborate closely with internal customer-facing teams—Sales, Solutions Architects, Training, and Support—to ensure seamless customer experiences
- Deliver actionable feedback to dbt Labs' Product and Engineering teams to help prioritize customer needs and ensure quick resolution of engagement-specific issues
- Develop deep expertise in dbt and its role within the modern data stack (if not already an expert)
What You'll Need
- You have 4+ years experience working with technical data tooling in a customer-facing post-sales, technical architect or consulting role
- You have deep expertise in at least one data platform (Snowflake, Databricks, BigQuery, Redshift)
- You have experience using, deploying, or configuring dbt Cloud - working with dbt for minimum 1 year
- You are proficient in writing SQL and python in analytics contexts
- You look forward to building skills in technical areas that support deployment and integration of dbt Cloud solutions to complete customer projects
- You are customer focused - embracing one of core values that users are our best advocates
- You are highly organized. Comfort with technical project delivery - managing scope, timelines, and deliverables - this role will be staffed on multiple engagements at once
- You communicate clearly and concisely with internal and external stakeholders - demonstrating a capacity to clearly and concisely communicate about complex technical, architectural, and/or organizational problems and propose thorough iterative solutions
- You thrive in a remote organization that highly values transparency and cross-collaboration
- You will travel 2-4x/year to company wide events
What Will Make You Stand Out
- You have obtained the dbt Analytics Engineering Certification
- You have the ability to advise on dbt Cloud recommendations, and build direction/consensus with the customer to move forward
- Experience with traditional Enterprise ETL tooling (Informatica, Datastage, Talend)
Remote Hiring Process
- Interview with a Talent Acquisition Partner
- An introductory interview with our Professional Services Regional Manager
- After that we’ll ask you to complete a take home task
- Team Interviews with a current Resident Architect and our VP, Customer Services
Benefits
- 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
- Health & wellness stipend
- Flexible stipends for:
- Home office setup
- Learning and development
- Office space
- And more!
Compensation
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 Boston, Chicago, Denver, Los Angeles, Philadelphia, New York Metro, San Francisco, DC Metro, Seattle, and Austin, an alternate range may apply, as specified below.
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.
dbt Labs
dbt Labs makes data transformation easy for modern data teams. Build, test, and document reliable analytics in the cloud with dbt Labs..
See more jobsSafe Remote Job Search Tips
Verify Employer Thoroughly
Research the company's identity thoroughly before applying. Check for a professional website with contacts, active social media, and LinkedIn profiles. Verify details across platforms and look for reviews on Glassdoor or Trustpilot to confirm legitimacy.
Never Pay to Get a Job
Legitimate employers never require payment for applications, training, background checks, or equipment. Always reject upfront payment requests or demands for bank details, even if they claim it's for purchasing necessary work gear on your behalf.
Safeguard Your Personal Information
Protect sensitive data like SSN, bank details, or ID copies. Share this only after accepting a formal, written job offer. Ensure it's submitted via a secure company system or portal, never through insecure channels like standard email attachments.
Scrutinize Communication & Interviews
Watch for communication red flags: poor grammar, generic emails (@gmail), vague details, or undue pressure. Be highly suspicious of interviews held only via text or chat apps; legitimate companies typically use video or phone calls.
Beware of Unrealistic Offers
If an offer's salary or benefits seem unrealistically high for the work involved, be cautious. Research standard pay for similar roles. Offers that appear 'too good to be true' are often scams designed to lure you into providing information or payment.
Insist on a Formal Contract
Always secure and review a formal, written job offer or employment contract before starting work or sharing final personal details. Ensure it clearly defines your role, compensation, key terms, and conditions to avoid misunderstandings or scams.