While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.
As a Senior Data Infrastructure Engineer on the security data infrastructure team you will help build data infrastructure for the security team. You will build reliable, large-scale, multi-geo data pipelines to support detecting threats (internal and external threats) in Databricks systems, incident response forensics analysis and periodic compliance audits. You will build and deploy data pipelines in multi cloud (AWS, Azure and GCP) environments to process data and logs from external SaaS systems
The impact you will have:
What we look for:
Benefits
About Databricks
Databricks is the data and AI company. More than 5,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% 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.