Senior Product Specialist Partner Solutions Architect

London · 5+ years experience · Posted Oct 19, 2026

At a glance

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

A newly created role to help Databricks create new product categories and pioneer a partner product-specialist function across EMEA.
Own how leading System Integrator partners develop deep, market-leading expertise in Databricks' priority products.

Select, enable and certify leading EMEA partners to the highest tier of product specialisation, running the enablement engine end to end.
Act as the partner-side counterpart to Databricks' EMEA Product Specialists, bringing the latest product expertise to partners and connecting partner enablement to live customer opportunities.
Grow models where specialised partners bring product-specialist capacity to joint customers.
Position specialised partners as launch partners for major product releases.
Author the better-together technical and commercial story for priority products in the partner channel, including reference architectures, positioning, partner offers and value framing.
Define the operating model, specialisation and certification criteria, partner selection bar and cadence to create the template Databricks adopts worldwide.

Extensive hands-on experience with the Databricks Data Intelligence Platform, with genuine depth in at least two priority products and the ability to get to depth quickly on the rest.
Proven ability to build partner or field capability at scale, including enablement, certification and community-building.
Strong business-value and go-to-market instinct, with the ability to translate technical depth into commercial positioning and engage at senior-executive level.
Demonstrated thought leadership through authoring technical and business content and presenting complex products credibly.
At least 5 years of technical pre-sales or sales-methodology experience in a consumption business model.
Experience designing and delivering end-to-end data, warehousing and AI architectures.
Coding experience in a core language such as Python, SQL, Java or Scala.
Hands-on experience building data applications or AI agents.
Maturity to build a new function from the ground up, defining the operating model, standards, and managing multiple changing priorities.

Requires up to 40% travel across EMEA to partner sites, Databricks offices and key industry events.