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# Enterprise Security Architect

- **Company:** Booz Allen Hamilton Inc.
- **Location:** McLean, VA, United States
- **Experience:** Expert
- **Salary:** $112,800.0 - $257,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing Security, Cyber Security, Information Systems, Information Engineering, Extract Transform Load (ETL), Data Transformation, Enterprise Content Management, Intrusion Detection and Prevention, Machine Learning, Performance Tuning, Sherwood Applied Business Security Architecture, Security Information and Event Management, Software Engineering, Data Streaming, Systems Architecture, Systems Integration, Data Logging, Data Ingestion, Mitre Att&ck, QRadar, Generative AI, Agentic-AI, Togaf, Information Technology, Cybercrime, Microsoft Sentinel, Data Management, Splunk, Security Orchestration, Automation & Response
- **Published:** November 6, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88801952/1

## About the Role

* 10+ years of experience in architecture and transformation, including current-state assessment, target-state architecture, integration patterns, cloud and hybrid environments, operating models, roadmaps, implementation governance, or adoption and change
 * 10+ years of experience leading consulting engagements, technical workstreams, or cybersecurity transformation programs for complex organizations
 * 10+ years of experience turning ambiguous problems into practical capabilities, repeatable methods, and measurable delivery results
 * 5+ years of experience in threat detection and response, including detection strategy, use-case engineering, threat hunting, incident response, case management, SOC operating models, SOAR, XDR/SIEM, or metrics and continuous improvement
 * 5+ years of experience in detection engineering, including detection lifecycle, detection-as-code, analytic logic, rule development, testing and validation, tuning, content governance, ATT&CK-informed coverage, or engineering workflows
 * 5+ years of experience in endpoint and identity, including EDR/XDR, endpoint telemetry, endpoint controls, identity-aware detection, privileged access, containment and remediation workflows, or endpoint response constraints
 * 5+ years of experience in telemetry and data engineering, including logging strategy, source onboarding, log pipelines, routing and forwarding, streaming and batch patterns, ingestion, normalization, enrichment, data quality, ETL, or evidence resilience
 * 2+ years of experience in AI for cybersecurity, including AI/ML fundamentals, generative AI, retrieval and grounding, agentic workflows, evaluation, prompt, and model risk, human-in-the-loop design, or responsible automation
 * Bachelor's degree in Cybersecurity, Computer Science, Information Systems, or Engineering

Nice If You Have:

 * 10+ years of experience in a professional services, systems integration, advisory, or consulting environment
 * 5+ years of experience responding to RFPs and developing client-ready solutions, estimates, delivery plans, and executive presentations
 * 5+ years of experience with major security platforms such as Microsoft Sentinel or Defender, Splunk, CrowdStrike, Google Chronicle, Elastic, QRadar, or comparable technologies
 * 2+ years of experience with cloud platforms, data platforms, event streaming, security orchestration, infrastructure-as-code, or software engineering practices
 * CISSP, GIAC, SABSA, TOGAF, CCSP, Cloud Security, or Vendor-specific Security Certifications

## Description

Everyone knows security needs to be "baked in" to a system architecture-you actually know how to bake it in. You can identify and implement ways to harden systems and reduce their attack surface. What if you could use your cyber skills to lead the design and development of secure systems? We're looking for a forward-learning cybersecurity thinker who can create solutions for Fortune 250 clients that will withstand even the most advanced cyber threats.

As a lead Enterprise Security Architect at Booz Allen Defy, you'll support the growth, delivery, and continuous evolution of the company's threat detection and response capability. This role combines deep technical credibility with the insight, communication, and commercial leadership required to advise complex organizations, lead multidisciplinary teams, shape target-state capabilities, and deliver measurable improvements in detection and response.

The successful candidate will be a broad cybersecurity practitioner with strong depth in detection engineering, endpoint security, security telemetry, log pipelining, data ingestion, and ETL. They will translate client problems into practical architectures, operating models, roadmaps, and implementation plans, serve as a trusted subject matter expert in proposals and client pursuits, and apply sound AI principles to emerging detection and response challenges with appropriate security, governance, and human oversight.

What You'll Work On:

 * Execute the vision, priorities, and delivery standards for the threat detection and response capability, aligned to client risk, business outcomes, and market needs.
 * Build and maintain reusable methods, reference architectures, playbooks, accelerators, and points of view across detection engineering, endpoint, telemetry, and response.
 * Coach and develop cybersecurity practitioners, technical leads, and emerging consultants and create an environment that values technical rigor, practical delivery, and clear communication.
 * Lead or oversee cybersecurity engagements from problem definition through architecture, roadmap, implementation support, and executive readout.
 * Assess current-state detection and response capabilities and define target states that improve visibility, triage, investigation, response, resilience, and measurable outcomes.
 * Design and review detection engineering approaches, including use-case development, content lifecycle management, detection-as-code, testing, tuning, threat-informed coverage, and operational handoff.
 * Develop practical approaches for endpoint security, XDR/SIEM integration, telemetry strategy, log routing, streaming, ingestion, data quality, pipeline resilience, and ETL or data transformation.
 * Translate complex technical issues into concise recommendations for executives, business leaders, security practitioners, and engineering teams.
 * Facilitate workshops and working sessions that bring together cybersecurity, IT, cloud, application, identity, network, data, operations, and business stakeholders.
 * Identify and apply where AI, machine learning, generative AI, and agentic capabilities can improve detection, triage, investigation, threat hunting, engineering productivity, and response execution.