Sr. Manager, Security - Detection Engineering

RDQ225R418

The Detection & Response team's mission is to protect Databricks products, cloud infrastructure, endpoints and employees from security threats and modern attacks. We are a team of expert engineers combining log analysis expertise, cybersecurity skills and software development to build a mature and durable detection platform. We embrace the “Detection-as-Code” model by doing “Security for Databricks on Databricks”, using our own platform to build alerts and detections.

Databricks is looking for a Senior Manager leading the Detection Engineering team to build durable and high-fidelity detections against common attacks and across a variety of different log sources and domains, including endpoint, networking, cloud, and identity data. The job requires expertise in building robust engineering solutions and pipelines to perform data ingestion, curation, and correlation while fully embracing Detection-as-Code principles and models.

The impact you will have:

• Hire great Security Software Engineers to build an outstanding team
• Support Security Software Engineers in their career development by providing clear feedback and developing security leaders
• Solve Detection Engineering challenges starting with the ingestion of large volumes of data across multiple clouds and complex systems and ending with precise detectors running in production
• Innovate, study, and research the evolution of the threat landscape and most recent adversarial techniques to strategize the most effective detection engineering plan, partnering with Product Security and Redteam teams
• Coordinate execution and collaborate across teams to unblock cross-cutting projects

What we look for:

• 2-4 years of prior management experience of Engineering or Security teams
• Typically 12+ years of experience or advanced degree + 8 years of experience (preferably focused on detection, incident response, and/or threat intelligence)
• Focused on defining and driving efficiencies and improvements within their team
• Make effective priority decisions on resourcing and alignment within their team
• Accountable for defining and achieving targets (e.g., OKRs, KPIs) of the team
• Sufficient domain expertise to review the work of their team
• Previous experience in building complex Detection Engineering on large data platforms with attention to accuracy, quality, and cost tradeoffs (experience with Databricks is preferred)
• Solid understanding of cybersecurity fundamentals with technical expertise on common threats and attacks observed on endpoints, cloud, network, and identity
• Knowledge of Machine Learning methods applied to solve Detection Engineering problems

Benefits:

• Medical, Dental, and Vision
• 401(k) Plan
• FSA, HSA and Commuter Benefit Plans
• Equity Awards
• Flexible Time Off
• Paid Parental Leave
• Family Planning
• Fitness Reimbursement
• Annual Career Development Fund
• Home Office/Work Headphones Reimbursement
• Employee Assistance Program (EAP)
• Business Travel Accident Insurance
• Mental Wellness Resources

Pay Range Transparency:

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors 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 utilizes the full width of the range. The total compensation package for this position may also include eligibility for an annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here .

Zone 1 Pay Range: $182,900 — $323,500 USD

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.