At Databricks, we are passionate about helping data teams solve the world’s toughest problems. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, GenAI and Data Warehousing.
As a Lead Product Specialist - Data Warehousing you will be a deep technical expert in Data Warehousing and in how customers can be successful with these use-cases in the Lakehouse paradigm. You will work with both Product Management and the EMEA Field Engineering team to act as the technical bridge between these two important organisations to help make the Data Intelligence Platform vision a reality for our customers. You will provide thought leadership on best practices around DBSQL in particular and other Databricks features focussed on the Data Warehousing persona. You will support our field teams in both competing with and migrating from existing data warehouses and support enablement activities for the EMEA technical field.
You will report directly to the Sr. Director Product Specialists Databricks Field Engineering and can be located in either London, Paris or Munich. Databricks Field Engineering works with our customers to grow adoption, win technical validations and advise customers on Databricks best practices. This is a hybrid role both onsite and offsite. There will also be some travel associated with the role.
About Databricks
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.
Our Commitment to Diversity and Inclusion
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.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.