Solutions Architect

Location: Toronto, Canada Employment Type: Full-time Location Type: Hybrid (requiring some in-person engagement both in-office and onsite with customers) Salary: Not specified

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 50,000 teams every week.

As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Cloud customers, including JetBlue, HubSpot, Vodafone New Zealand, and Dunelm. We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:

• Code-based data transformations unlock transparency, flexibility, and collaboration
• Analysts should adopt software engineering best practices to build trusted data products
• Core analytics infrastructure should be open source and user-controlled
• Analytic code—not just tools—should be shared and community-driven

dbt 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.

About the Role

As a Solutions Architect (SA) at dbt Labs, you’ll serve as the technical counterpart to our Sales team, playing a critical role in advancing deals and driving value for our prospects. This role supports the Toronto region, with a particular focus on Canadian-based customers—requiring some in-person engagement both in-office and onsite with customers. As a Solutions Architect, you will lead the evaluation, implementation, and adoption of dbt for our largest enterprise and commercial customers.

What You’ll Do

• 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

What You’ll Need

• 4+ years of sales engineering, solutions architecture, or consulting in data operations, analytics, or BI
• A strong foundation in pre-sales or technical sales, with the ability to quickly learn new technologies—prior experience with dbt is not required.
• 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

What Will Make You Stand Out

• Prior experience working at an analytics, ETL, BI, and/or open-sourced software company
• Knowledge of or prior experience with dbt
• Experience with Data Modeling methods such as dimensional, data vault, Kimball, 3NF
• Experience with Data warehousing tooling (Snowflake, Databricks, etc.)
• Experience with leading the technical aspects of the sales cycle, including discovery, solution demos, value articulation, scoping proof-of-value (POV) engagements, executive-level POCs, and final readouts

Remote Hiring Process

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