• Security Operations experience preferred
• Strong data engineering skills, with advanced Databricks and Spark experience and strong working ability in Python and SQL
• Experience building and operating batch and streaming data pipelines for high-volume telemetry, logs, events, and security datasets
• Strong knowledge of telemetry normalization (OCSF), enrichment, schema design, and data quality controls across security-relevant data sources
• Experience designing and maintaining lakehouse or data lake architectures that support analytics, detections, investigations, and long-term retention needs
• Familiarity with detection engineering requirements, including how curated data supports rules, analytics, triage, and investigation workflows
• Experience integrating enterprise data sources, APIs, files, message streams, and cloud storage in a secure and maintainable way
• Working knowledge of observability, cost management, performance tuning, and operational support for production data platforms
• Ability to collaborate with architecture, platform, security, governance, and Cyber Security Operations stakeholders
• Excellent verbal and written communication skills
• Security Operations experience preferred