Utilizes skills to translate business analytic requests/requirements into design, development, testing, deployment, and production maintenance tasks. Works with various technologies from big data, relational and non-relational databases, cloud environments, different programming languages and various reporting tools and is familiar with a few but requires training for some.

Consults on data projects of intermediate complexity, with limited coaching and guidance, to understand design requirement and existing business processes to lead in the design, development, and implementation of data products. Practices code management and integration with current architectural and data governance guidelines with reduced oversight required of leadership.

Produces data building blocks, data models, and data flows for varying client requests such as dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science research and exploration with limited assistance and coaching. Creates business user access methods to structured and unstructured data.

Utilizes techniques such as mapping data to a common data model, natural language processing, transforming data as necessary to satisfy business rules, AI, statistical computations, and validation of data content. Translates business data stories into a technical story breakdown structure and work estimates for a schedule or planned agile sprint.

Projects are of increasing complexity but require less coaching and assistance from leadership. Develops and maintains moderately complex scalable data pipelines for both streaming and batch requirements and builds out new API integrations to support increased demands of data volume and complexity.

Preps/cleanses data to optimize for downstream reporting via Farmers standard visualization or AI/ML tools with coaching and feedback. Applies sound knowledge of data governance concepts with limited experience in application.

Executes on mid size projects and large tasks within timelines. Develops data project plans and executes with some supervision. Performs other duties as assigned.

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Utilizes skills to translate business analytic requests/requirements into design, development, testing, deployment, and production maintenance tasks. Works with various technologies from big data, relational and non-relational databases, cloud environments, different programming languages and various reporting tools and is familiar with a few but requires training for some.

Consults on data projects of intermediate complexity, with limited coaching and guidance, to understand design requirement and existing business processes to lead in the design, development, and implementation of data products. Practices code management and integration with current architectural and data governance guidelines with reduced oversight required of leadership.

Produces data building blocks, data models, and data flows for varying client requests such as dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science research and exploration with limited assistance and coaching. Creates business user access methods to structured and unstructured data.

Utilizes techniques such as mapping data to a common data model, natural language processing, transforming data as necessary to satisfy business rules, AI, statistical computations, and validation of data content. Translates business data stories into a technical story breakdown structure and work estimates for a schedule or planned agile sprint.

Projects are of increasing complexity but require less coaching and assistance from leadership. Develops and maintains moderately complex scalable data pipelines for both streaming and batch requirements and builds out new API integrations to support increased demands of data volume and complexity.

Preps/cleanses data to optimize for downstream reporting via Farmers standard visualization or AI/ML tools with coaching and feedback. Applies sound knowledge of data governance concepts with limited experience in application.

Executes on mid size projects and large tasks within timelines. Develops data project plans and executes with some supervision. Performs other duties as assigned.

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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 90,000 teams every week, driving data transformations and AI use cases.

As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers, including AstraZeneca, Sky, Nasdaq, Volvo, JetBlue, and SafetyCulture.

We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:

• Reliable, high-quality data is the fuel that propels AI-powered data engineering.

• AI is changing data work, fast. dbt’s data control plane keeps data engineers ahead of that curve.

• We empower engineers to deliver reliable, governed data faster, cheaper, and at scale.

dbt Labs is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world. And we’re just getting started..

We’re growing fast and building a team of passionate, curious people across the globe. Learn more about what makes us special by checking out our values.

About the Role

We are seeking an experienced Senior 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

• Familiarity with strategic sales or renewal processes, including proactive and reactive adoption efforts

• Proven success accelerating usage, adoption, and expansion in large, complex accounts

Remote Hiring Process

• Interview with a Talent Acquisition Partner

• Interview with Hiring Manager

• Task

• Task Review

• Final Values Interview

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.

• The typical starting salary range for this role in the specific locations listed is: $163,000 - $200,000

• The typical starting salary range for this role is: $146,000 - $180,000

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