Partner Solutions Architect working closely with consulting and technology partners to drive revenue. Enhancing collaboration between partner development managers and field engineering teams.
Responsibilities
Partner closely with North America Partner Development Managers to execute joint GTM plans across technology and SI/consulting partners.
Build trusted technical relationships with partner architects, sellers, and practice leaders
Run partner enablement sessions, workshops, office hours, and hands-on technical trainings to improve partner capability and field readiness
Support account mapping and seller-to-seller alignment between dbt and partner field teams to uncover and accelerate pipeline
Help create and refine repeatable sales plays across themes like core-to-cloud migration, modernization, AI-ready data foundations, marketplace, semantic layer, and partner platform adoption
Support partner-led and tri-party pipeline generation efforts including QBRs, innovation days, lunch-and-learns, hands-on labs, and local field events
Equip partner teams with the technical messaging, demo narratives, architectures, and customer use cases needed to position dbt effectively
Collaborate with dbt Account Executives, Sales Engineers, and regional sales leadership to drive co-sell execution in target accounts
Act as a technical bridge between partners and dbt Product / Engineering by surfacing integration gaps, field feedback, competitive insights, and roadmap opportunities
Serve as an internal subject matter expert on dbt’s major technology partner ecosystem, especially Snowflake, Databricks, and Google Cloud
Contribute to the scale motion by helping build collateral, playbooks, enablement assets, and best practices that raise the bar across the broader Partner SA function
Travel approximately 30-40% to support partner planning, enablement, executive meetings, and field events across North America
Requirements
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
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