Staff Solutions Architect
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.
About the Role
We're looking for a talented Staff Solutions Engineer to join our Enterprise Field Engineering team. In this role, you'll partner closely with sales to understand the complex needs of our largest enterprise customers and show them how the combined power of Fivetran and dbt Labs can turn those challenges into real business outcomes. You'll bring the technical expertise, uncovering functional and technical requirements, designing solutions that fit, and driving a rigorous proof-of-value process that earns the technical win at every stage of the sales cycle.
This is a full-time, remote position based in the Southeastern US (VA, NC, SC, GA, FL), with a willingness to travel 30%+
Technologies You’ll Use
AWS, GCP, Azure, Snowflake, Databricks, Redshift, BigQuery, Python, Git, APIs, SQL, RDBMS (i.e. SQL Server, PostgreSQL..etc)
What You’ll Do
Work with Enterprise customers to understand their business requirements, use cases, and develop prescriptive solutions recommendations
Develop and deliver value-based, technical solution demonstrations to enterprise audiences
Owning and drive structured proof-of-value process that secures the technical win
Work closely with Product, Support, Customer Success and Engineering teams to ensure alignment of our solutions to enterprise customer needs
Own the full customer lifecycle from pre-sale evaluation through product adoption and expansion
Develop and maintain relationships with customers and key partners
Stay up-to-date on the latest technologies and trends in our industry
Skills We’re Looking For
7+ years of Enterprise solutions engineering experience driving end-to-end technical sales cycle
Strong technical background, with hands-on experience in SQL, ELT, data modeling, analytics engineering,or software development
A firm understanding of a modern data warehousing architectures and the ability to discuss them credibly with technical audiences
Excellent verbal, written, and in-person communication skills, with the ability to discuss complex topics with both technical and non-technical audiences
Bias for action - you move fast, ship early, and refine as you learn
A passion for being an inclusive teammate and involved member of the community
Bonus Skills
Knowledge of or prior experience with dbt
Networking and security knowledge relevant to enterprise deployments, such as private networking, VPC/PrivateLink, encryption, and data governance controls
Experiences designing and implementing solutions for enterprise agentic AI use cases (data, security, or infrastructure).
LI-Remote
OTE (On Target Earning)
$197,512—$246,890 USD