Staff Security Detection Engineer
As part of the Security Detection team at Databricks, you will play a critical role in safeguarding our products, cloud infrastructure, endpoints, and employees from modern cyber threats. Our team combines deep expertise in machine learning, log analysis, cybersecurity, and software development to create a robust and s
What this role actually needs.
As part of the Security Detection team at Databricks, you will play a critical role in safeguarding our products, cloud infrastructure, endpoints, and employees from modern cyber threats. Our team combines deep expertise in machine learning, log analysis, cybersecurity, and software development to create a robust and s Responsibilities: - Design and implement advanced detection strategies by deeply understanding and analyzing new or unknown log sources, schemas, and raw data. - Collaborate with cross-functional teams, including product and data engineering teams, to build efficient log ingestion pipelines and support large-scale data analytics. - Engineer and deploy detection solutions on Databricks using Spark, Python, and other cutting-edge technologies with a strong emphasis on clean code, rigorous testing, and comprehensive documentation. - Develop Rule-based and/or ML-based intrusion detection models and integrate them with Databricks' platform, ensuring high accuracy and minimal false positives. - Partner with Incident Response teams to perform threat hunting and to provide detailed logging, alerts, and playbooks, empowering proactive threat detection and response. - Influence the development of long-term technology strategies and roadmaps for detection engineering, ensuring alignment with broader business and security goals. Company context: Databricks is the data and AI lakehouse platform used by the world's largest enterprises for analytics, ML, and generative AI.
Day-to-day expectations
Databricks lists these responsibilities for the Staff Security Detection Engineer role.
- Design and implement advanced detection strategies by deeply understanding and analyzing new or unknown log sources, schemas, and raw data.
- Collaborate with cross-functional teams, including product and data engineering teams, to build efficient log ingestion pipelines and support large-scale data analytics.
- Engineer and deploy detection solutions on Databricks using Spark, Python, and other cutting-edge technologies with a strong emphasis on clean code, rigorous testing, and comprehensive documentation.
- Develop Rule-based and/or ML-based intrusion detection models and integrate them with Databricks' platform, ensuring high accuracy and minimal false positives.
- Partner with Incident Response teams to perform threat hunting and to provide detailed logging, alerts, and playbooks, empowering proactive threat detection and response.
- Influence the development of long-term technology strategies and roadmaps for detection engineering, ensuring alignment with broader business and security goals.
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Source: databricks.com · Source ID: 8184634002 · Confidence: 93/100 · Last checked: May 7, 2026
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