Staff Security Detection Engineer

<p>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.<br><br>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.</p> <p>You will be an individual contributor on the Security Detection team at Databricks, reporting to the Sr Manager of Detection Engineering.</p> <p><strong>Key Responsibilities:</strong></p> <ul> <li>Design and implement advanced detection strategies by deeply understanding and analyzing new or unknown log sources, schemas, and raw data.</li> <li>Collaborate with cross-functional teams, including product and data engineering teams, to build efficient log ingestion pipelines and support large-scale data analytics.</li> <li>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.</li> <li>Develop Rule-based and/or ML-based intrusion detection models and integrate them with Databricks' platform, ensuring high accuracy and minimal false positives.</li> <li>Partner with Incident R