Senior Customer Solutions Resident Architect

dbt Labs dbt Labs · Data AI · United States · Remote · Professional Services

This role is for a Senior Customer Solutions Resident Architect at dbt Labs, a company focused on analytics engineering and data transformation. The role involves providing technical guidance to strategic accounts, supporting pre-sales, accelerating customer adoption of dbt Cloud, and mitigating churn risks. Responsibilities include advising on architecture, building solution MVPs, and collaborating with internal teams. The ideal candidate has 5+ years of technical customer-facing experience, expertise in cloud data platforms, and dbt Cloud experience.

What you'd actually do

  1. Support strategic pre-sales opportunities by providing technical expertise to prospects
  2. Assist in launching and onboarding new customers who have not purchased RA services, ensuring they successfully adopt dbt Cloud
  3. Execute proactive adoption plays, including migrations, new feature implementations (e.g., Semantic Layer, Mesh), and major version upgrades
  4. Lead reactive adoption initiatives to de-risk churn or contraction and position accounts for future growth
  5. Advise on architecture, design, implementation, troubleshooting, and best practices in dbt Cloud environments

Skills

Required

  • 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
  • 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

Nice to have

  • working knowledge of Python in analytics contexts
  • 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
  • Familiarity with strategic sales or renewal processes, including proactive and reactive adoption efforts
  • Proven success accelerating usage, adoption, and expansion in large, complex accounts