SME Systems Architect
Job in
Herndon, Fairfax County, Virginia, 22070, USA
Listed on 2026-06-12
Listing for:
KDA Consulting Inc
Full Time
position Listed on 2026-06-12
Job specializations:
-
IT/Tech
Systems Engineer, Cybersecurity, Cloud Computing, IT Consultant
Job Description & How to Apply Below
The ideal candidate will have extensive experience designing secure, scalable architectures that support advanced threat detection, real-time monitoring, automation, predictive analytics, and compliance strategies within complex multi-network Intelligence Community (IC) environments. Specifically, you will lead the architectural evolution and integration of enterprise platform standards including Splunk, Service Now, and App Dynamics to drive end-to-end visibility and operational excellence.
- Future & Integrated Enterprise Architecture:
Drive the development, evolution, and alignment of the future-state and integrated technical architecture for critical enterprise platforms, specifically ensuring seamless interoperability between Splunk, Service Now, and App Dynamics. - Enterprise Technical Architecture:
Define and maintain the end-to-end technical architecture for a centralized IT systems data ecosystem, ensuring complete alignment with strategic modernization goals and federal IT mandates. - Digital Transformation Leadership:
Drive mission enablement for Cyber, IT, and Insight Operations through the deployment of an AI-driven ecosystem that optimizes resources for data-driven success. - Strategic Facilitation:
Lead and facilitate leadership offsites, multi-agency working groups, and strategic technical discussions to identify and mitigate infrastructure gaps, platform limitations, technical debt, and disconnected workflows. - Systems Integration:
Lead massive-scale systems integration efforts across disparate technical teams, ensuring seamless integration of Commercial Off-The-Shelf (COTS) and custom-built solutions. - Data Governance & Integrity:
Build and operationalize robust data governance, data classification, and access control policies across hybrid cloud and on-premise environments in compliance with ICD 503, ICD 504, and upcoming AI mandates (e.g., ICD 505). - Security & Compliance Architecture:
Architect secure network segmentations, zero-trust frameworks, and cross-domain solutions (CDS) within highly complex security enclaves. Ensure technical systems satisfy strict federal accreditation and assessment (A&A) standards. - Technical Mentorship & Governance:
Provide technical leadership, conduct comprehensive code/architecture reviews, promote Dev Sec Ops cultures, and establish rigorous performance benchmarks for engineering teams. - Program Advisory Support:
Assist in managing program scope, schedules, milestones, technical dependencies, and risk mitigation strategies to optimize the return on investment (ROI) for critical technical solutions.
- Required Qualifications
- Experience:
- Minimum of 20+ years of technical experience in Systems Engineering, Enterprise Architecture, Systems Integration, and Digital Transformation.
- Minimum of 15+ years of dedicated experience supporting the Intelligence Community (IC) and/or Department of Defense (DoD).
- Education:
Bachelor's Degree in Information Technology, Systems Engineering, Business and IT, or a related technical discipline (or equivalent combination of education and experience). - Security Clearance:
Must possess an active TS/SCI with Polygraph. - Required Technical & Core Competencies
- Enterprise Monitoring & ITSM Integration:
Deep architectural understanding and proven ability to support the development of integrated future-state architectures combining Splunk (enterprise logging/SIEM), Service Now (ITSM/ITOM), and App Dynamics (application performance monitoring) to deliver holistic operational observability. - Architectural Frameworks:
Proven expertise using enterprise architecture methodologies (e.g., JARM, Gartner Enterprise Architecture, FEAF) to manage complex system-of-systems configurations. - AI/ML Strategy:
Broad understanding of the notional AI stack, machine learning life cycles, full lifecycle model management, and integrating massive enterprise datasets with machine learning tools. - Cloud & Infrastructure:
Deep familiarity with secure, scalable hybrid cloud engineering solutions (e.g., AWS, cloud-native architectures) and cross-domain communications. - Security Standards:
Expert-level knowledge of Risk Management Frameworks (RMF), A&A processes, system hardening, and IC directives (including ICD 503, ICD 504, and NIST 800-53 standards). - Agile & Dev Sec Ops Mindset:
Demonstrated experience championing Sec Dev Ops best practices (automated security testing, IaC, CI/CD pipelines) and working within or across Agile/Scrum delivery teams. - Tools:
Proficiency utilizing workflow tracking and documentation platforms like JIRA and Confluence to manage system…
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