Solutions Architect, Enterprise (Canada)

dbt Labs; Toronto; Hybrid; CAD 205,000 - 255,000; Full time

Job summary

A dynamic role at dbt Labs as a Solutions Architect focused on sales engineering for prospective clients in Toronto. This position requires a blend of technical expertise and communication skills to facilitate the adoption of dbt's innovative cloud solutions. Join a leading analytics engineering team to empower data-driven decisions and drive customer success.

Benefits

Unlimited vacation time

Comprehensive healthcare coverage

Employer contributions to pension plans

Generous paid parental leave

Flexible stipends for health and wellness

Support for home office setup

Learning and development opportunities

Qualifications

• 4+ years of sales engineering or solutions architecture experience.
• Strong foundation in technical sales and ability to learn new technologies.
• Experience in SQL, ETL, and understanding of data warehousing architectures.

Responsibilities

• Communicate technical value of dbt products and guide customers through implementations.
• Own customer lifecycle from pre-sale evaluation to product adoption.
• Build relationships with partners like Snowflake and AWS.

Skills

Sales Engineering

Solutions Architecture

SQL

Data Modeling

ETL

Communication

Job description

Solutions Architect, Enterprise (Canada)

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

• 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 .

Location: Toronto, Canada

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
• 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
• Technical Screen
• Team Interviews with a demo
• Unlimited vacation time with a culture that actively encourages time off
• Healthcare: Comprehensive coverage provided by Canada Life, including medical, dental, and vision for you and your eligible dependents
• Pension: Employer contributions through our Group Retirement Savings Program with a 4% contribution
• Generous paid parental leave for all parents, with additional time for birthing parents
• Paid medical and caregiver leave to support life’s unexpected moments
• Flexible stipends for:
  • Health & wellness
  • Cellphone & internet
  • Home office setup
  • Learning & development

Compensation

We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process.

The typical starting salary range for this role is:

OTE Range

$205,000 - $255,000 CAD

dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.

Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page .

dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. Equity or comparable benefits may be offered depending on the legal or country limitations.

Accepted file types: pdf, doc, docx, txt, rtf

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Are you currently based in Toronto? * Select...

How many years of experience do you have as a Sales Engineer/Solutions Architect? *

Tell us about a time you worked with a customer to understand their technical needs and helped show the value of a solution. How did you guide them through a proof of concept (POC) or a demo? (Don’t worry if you’re not familiar with dbt yet — we’re looking for strong technical skills and the ability to learn quickly.) *

Do you have experience with dbt Cloud? * Select...

LinkedIn Profile

What is your preferred first name? If your legal first name and preferred first name are the same please input your legal first name. *

What is your preferred last name? If your legal last name and preferred last name are the same please input your legal last name. *