Databricks is building a new specialisation function within its partner ecosystem to accelerate adoption of strategic products across EMEA.
The role reports to the Director, Partner Field Engineering (EMEA).
Responsibilities
Select, enable and certify leading EMEA partners to the highest tier of product specialisation.
Run the enablement engine end to end: partner selection, technical upskilling, certification and first joint customer wins.
Act as the partner-side counterpart to Databricks' EMEA Product Specialists.
Grow models where specialised partners bring product-specialist capacity to joint customers.
Position specialised partners as launch partners for major product releases.
Author reference architectures, positioning, partner offers and value framing.
Define the operating model, specialisation and certification criteria, and partner selection bar.
Requirements
Extensive hands-on experience with the Databricks Data Intelligence Platform, with depth in at least two priority products (Lakebase, Genie, Unity Gateway, Migrations, Lakewatch, CustomerLake).
Proven ability to build partner or field capability at scale.
Strong business-value and go-to-market instinct.
Demonstrated thought leadership and content authoring.
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 Python, SQL, Java or Scala.
Hands-on experience building data applications or AI agents.