Resident Solution Architect

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

About Us

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.

We’re seeking an experienced Resident Solution Architect with a passion for solving challenging problems with dbt to join our Professional Services team. RSAs are billable to dbt Platform Enterprise customers and help achieve our mission to empower data developers to create and disseminate organizational knowledge.

To be eligible for this role, you must be physically located in the United States

In this role, you can expect to:

Work on a variety of impactful customer technical projects — inclusive of implementation, troubleshooting configurations, instilling best practices, and solutioning MVPs and long term solutions to customer specific requirements

Consult on architecture and design

Ensure our most strategic dbt platform customers are adopting the product

Collaborate with other internal customer facing teams at dbt Labs - Sales, Solution Architects, Training, Support

Provide critical feedback to dbt Labs product and engineering teams to improve and prioritize customer requests and ensure rapid resolution for engagement specific issues

Become a product expert with dbt in the context of the modern data stack (if you aren't already)

You are a good fit if:

You have deep experience working with enterprise customers across a variety of use cases, ideally in a customer-facing post-sales, technical architect, or consulting role

You have deep expertise in at least one data platform (Snowflake, Databricks, BigQuery, Redshift)

You have at least 2 years of experience with dbt, ideally including 1 year with dbt platform

You are proficient in writing SQL and have some python experience

You look forward to building skills in technical areas that support deployment and integration of dbt platform solutions to complete customer projects

You are customer focused - embracing one of our core values that users are our best advocates

You are highly organized. Comfort with technical project delivery - managing scope, timelines, and deliverables - this role will be staffed on multiple engagements at once

You communicate clearly and concisely with internal and external stakeholders - demonstrating a capacity to clearly and concisely communicate about complex technical, architectural, and/or organizational problems and propose thorough iterative solutions

You thrive in a remote organization that highly values transparency and cross-collaboration

~10% travel should be expected (occasional customer visits, company retreat and offsites)

You'll have an edge if: