Role Description

We’re looking for a Partner Solutions Architect to join the Field Engineering team and help scale dbt’s partner go-to-market motion across North America. This role is focused on building technical and commercial momentum with both consulting and technology partners.

• Work closely with Partner Development Managers to drive partner capability, field alignment, and pipeline across strategic SI and consulting partners as well as key technology partners such as Snowflake, Databricks, and Google Cloud.
• Help shape and execute repeatable partner plays that create revenue, including enabling partner sellers and architects, supporting account mapping and seller-to-seller engagement, and helping define joint value propositions.
• Support partner-led pipeline generation and influence product and field strategy based on market insights.
• Run partner enablement sessions, workshops, office hours, and hands-on technical trainings to improve partner capability and field readiness.
• Collaborate with dbt Account Executives, Sales Engineers, and regional sales leadership to drive co-sell execution in target accounts.
• Travel approximately 30-40% to support partner planning, enablement, executive meetings, and field events across North America.

Qualifications

• 5+ years of experience in solutions architecture, sales engineering, consulting, partner engineering, or another customer-facing technical role in data and analytics.
• Strong hands-on background in SQL, data modeling, analytics engineering, and modern data platforms.
• Ability to clearly explain modern data stack architectures and how dbt fits across warehouses, lakehouses, semantic layers, and AI-oriented workflows.
• Experience translating technical capabilities into clear business value for both technical and non-technical audiences.
• Comfort operating in highly cross-functional environments across Sales, Partnerships, Product, and Marketing.
• Strong presentation, workshop, and facilitation skills, including external enablement and customer-facing sessions.
• Proven ability to drive outcomes in ambiguous, fast-moving environments with multiple stakeholders.
• Strong written communication skills for building collateral, technical narratives, and partner-facing content.
• A collaborative mindset and a desire to help scale best practices across a growing team.

Requirements

• Experience working directly in partner, alliance, or ecosystem roles.
• Experience with Snowflake, Databricks, BigQuery / Google Cloud, AWS, or Microsoft Fabric in a GTM or solutions context.
• Experience enabling systems integrators, consulting firms, or technology partner field teams.
• Familiarity with cloud marketplace motions, co-sell programs, and partner-sourced pipeline generation.
• Prior experience with dbt, analytics engineering workflows, or adjacent tooling in transformation, orchestration, governance, or metadata.
• Strong instincts for identifying repeatable plays that connect enablement activity to measurable pipeline outcomes.
• Ability to influence both strategy and execution, from partner messaging and field enablement to product feedback and GTM refinement.
• A track record of building credibility quickly with partner sellers, partner architects, and internal field teams.

Benefits

• Unlimited vacation (and yes we use it!)
• Pension coverage
• Excellent healthcare
• Paid Parental Leave
• Wellness stipend
• Home office stipend, and more!

Company Description

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.

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.