Senior Solutions Architect, Enterprise (PNW)

About Us

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.

In this role, you can expect to:

• Become an expert in designing enterprise-grade data pipelines with dbt Cloud
• Work hand-in-hand with sales to communicate the technical value of the dbt Labs suite of products
• Guide customers through proof-of-concept implementations and facilitate trials of dbt Cloud
• Work with engineering to deploy dbt Cloud in private clouds for enterprise clients
• Own the full customer lifecycle from pre-sale evaluation to product adoption and expansion
• Work with product to build and maintain the dbt Cloud enterprise roadmap
• Build close relationships with our Partners (including companies like Snowflake, AWS, and Databricks) and enable them to adopt and implement dbt for their clients
• Be an active member of the dbt community

We are looking for someone who has:

• 4+ years of sales engineering, solutions architecture, or consulting in data operations, analytics, or BI
• A solid technical background, with experience in SQL, ETL, and data modeling
• A firm understanding of and ability to discuss modern data warehousing architectures
• Ability to gather and translate technical and business requirements into concrete solutions
• Excellent verbal, written, and in-person communication skills to discuss complex topics with both technical and non-technical audiences
• Ability to operate in an ambiguous and fast-paced work environment
• A passion for being an inclusive teammate and involved member of the community

Nice to haves:

• Prior experience working at an analytics, ETL, BI, and/or open-sourced software
• Knowledge of or prior experience with dbt
• Experience with Data Modeling methods such as dimensional, data vault, Kimball, 3NF
• Experience with traditional Enterprise ETL tooling (Informatica, Boomi, Talend)