Commercial Solutions Architect - Texas

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.

As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. 

Location: This role is based in Austin, with an expectation of being in the office 2-3 days per week.

About the Role As a Solutions Engineer (SE), your role is to help 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.

• →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 as a data practitioner or consultant in 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