Staff Customer Solutions Resident Architect
dbt LabsAbout the role
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 5,100 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: Remote, US
About the Role
We are seeking an experienced Staff Customer Solutions Resident Architects to join our team. In this role, you will drive critical customer outcomes by delivering high-impact technical guidance to strategic accounts. You will be part of a high-visibility initiative that supports pre-sales, accelerates adoption, enables key migrations, and mitigates churn risks.
This role is designed to deploy RA-level expertise flexibly, aligning with customer and business needs to drive growth, retention, and expansion.
What You'll Do
- Accelerate Customer Success Across the Lifecycle
- Support strategic pre-sales opportunities by providing technical expertise to prospects
- Assist in launching and onboarding new customers who have not purchased RA services, ensuring they successfully adopt dbt Cloud
- Execute proactive adoption plays, including migrations, new feature implementations (e.g., Semantic Layer, Mesh), and major version upgrades
- Lead reactive adoption initiatives to de-risk churn or contraction and position accounts for future growth
- Deliver Technical Excellence
- Advise on architecture, design, implementation, troubleshooting, and best practices in dbt Cloud environments
- Build solution MVPs and guide long-term technical strategies tailored to customer needs
- Engage on multiple projects simultaneously with clear scoping, start and end dates, and outcome tracking
- Collaborate Across Teams
- Partner closely with Customer Solutions Architects (CSAs), Sales, Solutions Architects, Training, and Support
- Provide feedback to Product and Engineering to improve customer experience and prioritize technical needs
- Champion customer success through thoughtful, transparent communication and cross-functional collaboration
- Advance Best Practices and Team Impact
- Help build out and refine this evolving function alongside the broader RA organization
- Track and manage capacity and engagement effectiveness similarly to other RA-led initiatives
What You'll Need
- 5+ years of experience in technical customer-facing roles such as post-sales consulting, technical architecture, or solution delivery
- Expertise with at least one modern cloud data platform (Snowflake, Databricks, BigQuery, or Redshift)
- Hands-on experience deploying or configuring dbt Cloud, with at least 1 year working with dbt
- Strong proficiency in SQL; working knowledge of Python in analytics contexts preferred
- Comfort leading technical project delivery — managing scope, timelines, and stakeholder expectations across multiple simultaneous engagements
- Clear, concise communication skills for both technical and executive audiences
- A collaborative mindset — thriving in a remote, transparent, and highly cross-functional organization
- Willingness to travel 2–4 times per year for company-wide events
What Will Make You Stand Out
- dbt Analytics Engineering Certification
- Ability to influence technical direction and build consensus across internal and customer teams
- Experience with traditional enterprise ETL tools (e.g., Informatica, Datastage, Talend) and how they relate to modern data workflows
- Fa
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