Staff, Security Data Platform Engineer
Core
Design and build security data lake and warehouse architectures for detection engines, AI/ML models, and security analysts; operate SIEM platforms and build ETL/ELT pipelines.
Role type
Staff Security Data Platform Engineer
Builds
Security data lakes, data warehouses, real-time log collection architectures, ETL/ELT pipelines, detection-as-code frameworks (via careerplan.io/jobs/22165-staff-security-data-platform-engineer-at-coupang)
Domain
Cybersecurity, Cloud Infrastructure, Data Engineering
Deliverable
production ML models
Required skills
Large-scale data engineering, Backend system development, AWS (Kafka, Kinesis, S3), Python, Security event/log flow analysis, Data pipeline reliability, Cloud architecture design, CI/CD pipeline operation
Preferred skills
AI/LLM integration for log analysis, Query tuning, Incident-response practices
Technologies
Kubernetes, AWS, Kafka, Kinesis, S3, Python, Git
Responsibilities
Design data schemas and models for AI/ML use cases; Build enrichment pipelines; Optimize performance, reliability, and cost of SIEM and data warehouse platforms; Establish monitoring and troubleshooting practices for log collection pipelines.
Seniority
Staff, hands-on IC
