Staff Security Detection Engineer

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Benefits Diversity Engineering Research Students & new grads Back to search results Staff Security Detection Engineer United States Apply now 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 scalable detection platform. Embracing the "Detection-as-Code" model, we build detections on our own Databricks platform, ensuring that our security measures are deeply integrated with our technology stack. In this role, you will work with cutting-edge machine learning techniques to design and implement scalable intrusion detection solutions at the enterprise level. You'll partner with our product and data engineering teams to optimize log ingestion pipelines, fuse diverse log sources, and develop anomaly-based and ML-driven detection strategies. You will be instrumental in enhancing the organization's threat detection capabilities by utilizing novel data sources, exploring new attack vectors, and refining our detection models. You will be an individual contributor on the Security Detection team at Databricks, reporting to the Sr Manager of Detection Engineering. Key

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. Represent Databricks at security and engineering conferences, presenting novel detection approaches and thought leadership within the security community. What we look for: 10+ years of relevant experience or advanced degree + 7 years of experience, with a focus on security detection engineering. 6+ years of software engineering experience, with 4+ years specifically in security-related engineering, particularly in detection engineering. Expertise in securing and operating at least one major cloud environment (AWS, Azure, GCP). Strong technical proficiency in key areas such as network security, cloud security, application/log analysis, and endpoint security. Proven experience in Python, Git/GitHub, and CI/CD automation (terraform knowledge is a plus). Familiarity with distributed computing environments (e.g., Pyspark), SQL, data analysis tools, and machine learning. A strong passion for continuous learning and staying updated on evolving attack techniques and defense strategies. Excellent communication skills, with the ability to collaborate effectively across teams and present complex ideas clearly to stakeholders at all levels. A leadership mindset with the ability to mentor peers, drive strategic initiatives, and influence the organization’s security direction. In this role, you will be expected to work autonomously and take ownership of large projects. Your work will directly contribute to shaping the long-term success of Databricks' security infrastructure, and you'll be a key driver in the continued evolution of our detection systems. 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 . Zone 1 Pay Range $178,200 — $273,200 USD Zone 2 Pay Range $160,300 — $245,800 USD Zone 3 Pay Range $151,400 — $232,200 USD Zone 4 Pay Range $142,500 — $218,500 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 .

Benefits At Databricks, we strive to provide comprehensive

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perks that meet the needs of all of our employees. For specific details on the

benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks . 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. Why Databricks Discover For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Why Databricks Discover For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Product Databricks Platform Platform Overview Sharing Governance Artificial Intelligence Business Intelligence Database Data Management Data Warehousing Data Engineering Data Science Application Development Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Product Databricks Platform Platform Overview Sharing Governance Artificial Intelligence Business Intelligence Database Data Management Data Warehousing Data Engineering Data Science Application Development Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions Cybersecurity Marketing Data Migration Professional Services Solution Accelerators Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions Cybersecurity Marketing Data Migration Professional Services Solution Accelerators Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog Databricks AI Research Blog Data Brew Podcast Champions of Data & AI Podcast Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog Databricks AI Research Blog Data Brew Podcast Champions of Data & AI Podcast About Company

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