Staff Solutions Architect

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.

As a Staff Solutions Architect (SA), your role is to help Enterprise prospects understand the value that dbt Cloud can bring to their organization. You’ll lead technical discussions with prospective customers, uncover their data challenges, and demonstrate how dbt Cloud can meet their needs through live demos and technical workshops.

Internally, you’ll contribute to building and refining our processes and playbooks, while acting as the voice of the customer to ensure we continue developing products that solve real problems and delight our users. This role is to be based in the Dublin office.

• →Spend the majority of your time on pre-sales opportunities to understand customer use cases and identify the value dbt Cloud can bring to their organization
• →Consult with potential customers to uncover their data challenges and highlight how dbt Cloud can alleviate pain points and support their goals
• →Own the demonstration of technical and business impact by delivering tailored demos of dbt Cloud and providing expert guidance
• →Collaborate closely with Account Executives, building strong, trust-based relationships and offering strategic input throughout the deal process
• →Maintain ongoing relationships with technical stakeholders within your accounts
• →Partner with internal teams to improve how we work together, represent the voice of the customer in product discussions, and contribute to cross-functional initiatives
• →Participate in our knowledge-sharing loop by helping improve team processes, refining assets, and enabling others through collaboration
• →Create and deliver external-facing content through live events, blog posts, recorded tutorials, or other educational resources

• 4+ years of experience in Enterprise Pre Sales within data operations or analytics
• Strong technical foundation, with a solid understanding of modern data warehousing architectures, the modern data stack, and proficiency in SQL
• Prior experience with dbt is preferred; bonus points for dbt certification
• Experience working asynchronously as part of a partially remote, distributed team
• High degree of comfort presenting to diverse stakeholders or audiences, ideally in an externally facing role
• Ability to operate effectively in ambiguous, fast-paced environments and think on your feet during customer conversations
• Desire to be a strong team player—both within the SA team as we evolve our ways of working, and in daily collaboration with Account Executives as part of a deal team
• Openness to travel; we value the power of in-person relationship building, both internally and externally, and expect willingness to travel to events as needed

• Basic python competency and advanced SQL knowledge
• Proven experience in a pre-sales tech role
• Experience with traditional ETL tooling

• Interview with a Talent Acquisition Partner
• Hiring Manager Interview
• Technical Screen
• Team Interviews with a demo