Security Architect / Data Modeling Engineer

• Primary: Lead the design, implementation, and integration of Cribl data modeling and log pipeline ingestion.
• Architecture: Assist full-time teams with enterprise security platform planning, SIEM integration, and configuration of Linux-based security sensors.
• Secondary Support: Provide technical support for XDR, Vulnerability Management, Data Loss Prevention (DLP), and security automation initiatives.
• Collaboration: Partner with security architects to deploy threat countermeasures and align infrastructure with security controls.

Must-Have Technical Expertise:

• Cribl: Extensive experience with Cribl Data Modeling and log pipeline design/implementation.
• Enterprise Security: Strong understanding of security architecture, engineering principles, and enterprise tools (SIEM, XDR, DLP, Endpoint Security).
• Automation: Experience developing automation and integrations using Python and/or Bash scripting.
• OS & Networking: Experience with Linux and Windows system hardening, security configuration, and secure network design.

Highly Desirable (Pluses):

• Hands-on SIEM administration, analysis, and reporting.
• Experience building and deploying Linux-based security sensors.
• Familiarity with security frameworks (NIST CSF, CJIS, IRS 1075, CMS MARS-E).
• Certifications: CISSP and/or Security+.

Education & Background Requirements

• Bachelor’s degree in IT/Information Security OR 8 years of equivalent work experience.
• Minimum of 5 years supporting large IT environments and/or system deployments.

Mandatory Screening Requirements (Non-Negotiable): Candidates must be able to pass a rigorous onboarding process, including a 7-year standard background check, full credit check, 10-panel drug screen, and driving record check. Upon onboarding, you must obtain and retain annual CJIS Certification.