Partner Solutions Architect

We're looking for a Partner Solutions Architect to own the global technical relationship with Snowflake and Databricks.

Snowflake and Databricks are two of Fivetran + dbt Labs’ largest platform alliances. This is a global role scoped to those two partners. For each, you will own the technical alliance plan worldwide, the joint technical narrative, and our joint integration and roadmap priorities with each partner to drive cosell revenue. You will also own our technical presence at major milestones such as Snowflake Summit and Databricks Data + AI Summit, our two largest partner events.

Functionally, the role sits at the intersection of field engineering, product management, partnerships, and partner marketing. Your closest counterparts are the global alliance managers for Snowflake and Databricks, the regional partner sales managers who run the Snowflake and Databricks motions in AMER, EMEA and APJ, the geo partner solutions architects, and product managers across both product lines. You will report to the global head of partner solutions architecture.

This is a full-time position, which can be either remote (US) or hybrid depending on location. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

• →Own the global technical alliance plans for Snowflake and Databricks. Build each plan with the partner's alliance and product leadership, agree it with our own, and drive it through both field organizations.
• →Own the joint technical narrative and the capability messaging for the combined dbt + Fivetran platform on Snowflake and Databricks, including reference architectures, integration patterns, and the joint value story that partners and sellers use with customers.
• →Build reusable collateral, playbooks and enablement assets for the broader partner solutions architecture team and for the partners delivering on Snowflake and Databricks.
• →Maintain a single, current view of integration state, gaps and opportunities across the combined platform on Snowflake and Databricks, covering ingestion, transformation, Fusion, the semantic layer, catalog and metadata, open table formats, and agent and MCP interfaces, and collaborate with our Product organization to drive the right outcomes.
• →Serve as the primary technical counterpart to the partner engineering and partner product teams at Snowflake and Databricks, and run the standing technical cadence with each.
• →Own our technical presence at Snowflake Summit and Databricks Data + AI Summit, including hands-on labs, sessions, demos, and the technical readiness of the team who staff each event.
• →Partner with the regional Partner Solutions Architects and Partnerships organization so global alliance strategy turns into regional execution, and so they can run the motion without you in the room.
• →Travel approximately 30% for alliance planning, technical workshops, executive meetings and partner events, including international travel.

• 6+ years in solutions architecture, sales engineering, partner engineering, technical product management, developer relations, or another customer-facing technical role in data and analytics.
• Fluency across the modern data stack (ingestion, transformation, orchestration, warehouses and lakehouses, open table formats, semantic layers, catalogs, BI, and the emerging agent and MCP layer) and the ability to explain how the pieces fit.
• Hands-on knowledge of Snowflake and/or Databricks, plus strong SQL and data modeling fundamentals, with genuine technical credibility in front of partner engineers.
• Sound product and strategic judgment and reasoning
• Strong presentation and facilitation skills for workshops, hands-on labs, keynote-adjacent sessions and large partner technical audiences.
• Proven ability to drive outcomes in ambiguous, fast-moving environments with multiple stakeholders

• Experience owning a technical alliance, with a track record of shaping what a partner built and how the two products fit together
• Experience with partner-facing APIs, SDKs, drivers, or integration certification programs
• Background in product management or technical product marketing alongside a field engineering career
• Familiarity with cloud marketplace motions and co-sell programs