Role at a glance
- Salary
- $190.9K – $253.8K/yr
- Location
- Mountain View, California, United States San Francisco, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 10+ years of experience building large scale distributed systems with high availability
- Education
- MS or Ph.D. in Computer Science or related fields
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Role Summary
This senior Security Engineering leadership role sits within Databricks' Trust & Safety organization and focuses on strengthening the security of its data analytics and machine learning platform. The role sets vision and strategy for Data Security, identifies infrastructure and service gaps, and represents the security engineering discipline across the company and industry.
What You'll Do
- Identify and close key security gaps in Databricks infrastructure and services
- Attract top talent from across the industry
- Represent the security engineering discipline throughout the organization
- Represent Databricks at academic and industry conferences and events
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
7+ years of experience in Data Security or related areas; expertise in two or more of Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, or Detection & Response; 10+ years of experience building large scale distributed systems with high availability; leadership across functional and organizational lines; strong communication skills; bias to action and passion for delivering high-quality solutions; MS or Ph.D. in Computer Science or related fields.
Required
- 7+ years of experience in Data Security or related areas
- Expertise in two or more of Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication,...
- 10+ years of experience building large scale distributed systems with high availability
- Leadership skills and experience to lead across functional and organizational lines
- Strong communication skills to explain and evangelize Data Security to senior leaders across the company
- Bias to action and passion for delivering high-quality solutions
- MS or Ph.D. in Computer Science or related fields
Preferred
- Experience building systems at large scale internet companies
Original job description
Content provided by the employer
Original job description
Content provided by the employer
P-1124
Summary
At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.
Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.
Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space.
The impact you will have:
- Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services
- Attract top talent from across the industry.
- Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven
- Represent Databricks at academic and industry conferences & events
What we look for:
- 7+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus.
- 10+ years of experience building large scale distributed systems with high availability
- Leadership skills and experience to lead across functional and organizational lines
- Strong communication skills to explain and evangelize Data Security to senior leaders across the company
- Bias to action and passion for delivering high-quality solutions
- MS or Ph.D. in Computer Science or related fields
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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 click here.
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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.