United States onlyQualifications:
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.
- 7+ years of experience in data engineering, platform engineering, or cloud engineering roles.
- Experience with data pipeline tools (e.g., Kafka, Kinesis, Logstash, Fluentd).
- Experience with SIEM platforms (e.g., Splunk) and log aggregation systems
- Design, build, and maintain data platforms supporting SOC operations, including log aggregation, analytics, and security data pipelines.
- Engineer and optimize data ingestion pipelines for security telemetry (SIEM, EDR, cloud logs, network logs).
- Develop and maintain scalable data architectures in AWS GovCloud and hybrid environments.
- Support real-time and batch data processing for security monitoring and analytics.
- Integrate data from multiple sources (cloud services, applications, endpoints, network devices, third-party platforms).
- Ensure data quality, integrity, availability, and performance across platforms.
- Implement centralized data lake or data warehouse solutions for security analytics.
- Support SIEM/SOAR platforms through data normalization, enrichment, and correlation.
- Develop dashboards, reporting solutions, and visualization tools for real-time security posture monitoring.
- Automate data workflows and platform operations using scripting and orchestration tools.
- Support compliance requirements by ensuring proper data retention, logging, and auditability.
- Collaborate with SOC analysts and engineers to enable threat detection and response capabilities.
- Optimize platform performance, scalability, and cost efficiency.
- Implement monitoring, alerting, and observability for data pipelines and platforms.
- Maintain documentation for data architecture, pipelines, and integrations.
