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As organizations strive to extract value from their data through analytics and AI initiatives, they find that the biggest challenge lies in ensuring the data that fuels these initiatives is trusted and of high quality. This is why data engineering, the practice of building reliable data pipelines that ingest and transform data, is a foundational pillar in the success of every data-related project. As the industry leader, Databricks has pioneered the Data Intelligence Platform to help customers solve the toughest challenges in data and AI and through its platform, offers industry-leading tools for data engineers to ingest, transform and orchestrate data for any analytics, BI or AI use case.
Databricks’ data engineering product portfolio is the largest driver of revenue for the company today and as a Product Marketing Manager for data engineering, you will join a team of product marketers whose work impacts every Databricks customer. Furthermore, as a member of the team you will have the unique opportunity to shape the future of data engineering by launching Lakeflow - the exciting next chapter of data engineering on Databricks. Your focus will be the data orchestration capabilities offered by Lakeflow and you will be the owner and expert with a deep understanding of the product, customers and competitors. In this role, you will own the strategy and execution of a product marketing plan and collaborate with product leaders, sales professionals and other marketers to build messaging, launch new products and build assets that tell Databricks’ data engineering story.

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.