Consultant, Cybersecurity (Data Engineer)
Core
Design and operate security data pipelines, lakehouse models, and telemetry engineering patterns to transform raw security data into trusted intelligence for detections, analytics, and investigations.
Role type
Senior Data Engineer (Security Data Foundation)
Builds
Production-grade data pipelines, lakehouse data products, and telemetry ingestion frameworks for the Cyber Security Operations Center
Domain
Cybersecurity / Data Engineering / Cloud Data Platforms
Deliverable
production ML models | product features
Required skills
Databricks, Apache Spark, Python, SQL, batch and streaming data pipelines, telemetry normalization (OCSF), lakehouse architecture, data quality controls, API integration, cloud storage management
Preferred skills
Security Operations experience, detection engineering knowledge, observability and cost optimization, incident response support
Technologies
Databricks, Spark, Python, SQL, OCSF, Cloud Storage
Responsibilities
Design and maintain secure data pipelines for high-volume telemetry ingestion and normalization; Build and optimize lakehouse data models for security analytics and investigations; Implement data quality monitoring, freshness checks, and reconciliation controls; Partner with detection engineers to ensure data products support effective rules and analytics; Troubleshoot pipeline defects and support production incident response; Optimize job performance, storage layout, and cluster efficiency
Seniority
Senior, hands-on IC
