While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.
At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science, data engineering, and data analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward and drive innovation. Databricks Lakehouse makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise and business acumen to demonstrate how our Lakehouse Platform can help customers solve their complex data challenges and deliver business value. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.
This role will give you the opportunity to grow your existing skills and build your personal brand within the Data and AI space - be that by access to cutting-edge technical training, attending and presenting at relevant public events, or by being a vocal advocate for the Lakehouse Architecture. Join us in our quest to change how people work with data and make a better world! The role is reporting to the Manager, Field Engineering.
The impact you will have:
What we look for:
Databricks is the data and AI company. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. 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.
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.