Partner Solutions Architect, CEMEA

As a Partner Solutions Architect, you will engage with our top Consulting and System Integrator (C&SI) Partners and Field Engineering to drive adoption of the Data Intelligence Platform in our top customers through C-Suite Technical Executive alignment, engagement of Champions, and collaboration with our sales teams in the region.

You will develop ongoing partner capability via the 'Technical Champions program' within our top C&SI Partners to support CoE creation and delivery excellence.  You will provide strategic vision related to the Databricks Data Intelligence Platform aligning to the GSI engagement in our top accounts and develop and support programs to promote Partner expertise in the application of the Databricks Data Intelligence Platform.

Reporting to the Director, Field Engineering (Partner Solutions Architect)

A Partner Solutions Architect plays a crucial role in the success of the Databricks partner ecosystem by ensuring partners have the technical knowledge and experience to build, maintain and grow successful solutions for their customers. This, in turn, drives the adoption and success of the Databricks Data Intelligence Platform and the Partner solutions in the market. To achieve this, the PSA will:

• Accelerate Partner pre-sales and delivery in joint, strategic customer accounts by aligning Partner and Databricks Resources and providing technical expertise to accelerate adoption and consumption of the platform
• Work closely with Databricks account teams to help our partner ecosystem scope, evaluate and deliver large scale data projects and transformational programmes
• Grow the Partner Databricks delivery capability by providing technical expertise to help design, build and maintain repeatable solutions using Databricks Products and Services
• Develop, maintain and grow Senior Technical Executive relationships to identify new business opportunities, innovative use cases, competition and support joint go to market initiatives.
• The role requires up to 40% travel to GSI Partner sites and the Databricks German offices.

• Extensive experience hands-on as a Data Professional in a modern cloud-based data stack
• At least 3 years experience with technical pre-sales and sales methodologies within a consumption business model
• Collaborate closely with partner organisations at the senior executive level to understand their needs and objectives and align to Databricks products and Services
• Conduct training sessions, workshops, and webinars to educate partners on new technologies, features, and best practices.
• Develop and maintain technical content such as whitepapers, case studies, and solution guides to assist partners in leveraging the Databricks offerings
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala)
• Designing, implementing and maintaining end to end Data Architectures for Big Data, Data Warehousing and AI on MPP based platforms
• Managing multiple, frequently changing priorities across multiple teams

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.