Federal Cybersecurity Senior Advisor - Security Data Management (SDM)

Dell Technologies • Round Rock, TX

13d

About The Position

Join Dell Security & Resiliency – Cybersecurity Engineering and Operations as a Federal Cybersecurity Senior Advisor – Security Data Management (SDM). This role is crucial for advancing Dell's cybersecurity visibility, threat detection, and observability capabilities. You will be responsible for implementing, operating, and continuously improving logging, monitoring, and data pipeline solutions that provide security teams with actionable insights and reduce response times. The position leverages technologies such as Splunk, Elastic Stack, and Cribl, contributing to Dell's move towards AI-enabled, data-driven security operations. This role emphasizes hands-on execution, optimization, and operational excellence to deliver reliable, high-quality security data capabilities that enhance the organization's resilience against evolving threats.

Requirements

• USA Citizen
• Bachelor's degree in Cybersecurity, Computer Science, or a related field (or equivalent experience).
• 10–12 years of experience in cybersecurity engineering, with a focus on logging, monitoring, data management, and infrastructure.
• Strong hands-on experience with Elastic Stack (Elasticsearch, Logstash, Kibana), Cribl, and Splunk Enterprise/Cloud.
• Proficiency in Kubernetes, Docker, and CI/CD pipeline integration.
• Experience with Dell ECS, PowerScale, and virtual machine environments.
• Scripting skills in Python, Bash, or PowerShell.
• Strong ability to operate production systems with accountability to KPIs and outcomes.
• Solid communication skills and ability to collaborate across technical and non-technical teams.

Nice To Haves

• Familiarity with NDR technologies such as NetWitness, Corelight, or ExtraHop.
• Knowledge of additional logging/SIEM technologies: Microsoft Sentinel, Palo Alto Strata.
• Experience with pipeline technologies such as Cribl, Vector.
• Exposure to security data and analytics engineering: log/telemetry pipelines, schema governance, normalization/enrichment, and query-driven analytics.
• Familiarity with AI/ML-assisted security operations concepts, agentic AI safety practices, or secure-by-design principles for automated workflows.
• Experience with cloud-native logging/analytics platforms, time-series/log query languages, and data ingestion/transformation patterns.
• Industry certifications such as: CISSP, GCIA, GCIH, GMON, Splunk Certified Power User/Admin, CCNA, CCNP, PCNSA, PCNSE.

Responsibilities

• Lead the implementation, configuration, and administration of enterprise logging and monitoring platforms, including Splunk, Elastic Stack, and Cribl, while developing dashboards, alerts, correlation searches, and reporting capabilities.
• Design, build, and maintain security data pipelines, ensuring reliable logging ingestion, transformation, normalization, enrichment, and data quality using tools such as Cribl and Vector.
• Develop and support scalable observability and logging infrastructure leveraging Docker, Kubernetes, virtualized environments, Dell ECS, and PowerScale for data retention, monitoring, and analytics.
• Create automation and integrations using Python, Bash, and PowerShell to streamline data collection, configuration management, operational processes, and security monitoring workflows.
• Optimize logging platform performance and support threat detection, incident response, forensic investigations, and AI-enabled security operations through high-quality, analytics-ready data and robust observability practices.
• Ensure compliance with security and regulatory frameworks including NIST, MITRE ATT&CK, and CIS, while supporting audit readiness, risk assessments, privacy requirements, and AI governance controls.
• Drive platform reliability and continuous improvement by developing runbooks, monitoring service health, participating in incident response, identifying operational gaps, and implementing scalable remediation and automation solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior