Security Data Architect

  • Arlington, VA
  • Posted 2 hours ago | Updated 2 hours ago

Overview

On Site
Hybrid
Depends on Experience
Full Time

Skills

Active Directory
Identity and Access Management (IAM)
SailPoint
Okta
ServiceNow
Security Data Architecture
Cloud Security
Kubernetes
EKS
ECS
Container Security
AWS Cloud Architecture
Data Modeling
Data Integration
Security Analytics
Risk Assessment
Vulnerability Management
DevSecOps
Cross-functional Collaboration
Systems Analysis
Documentation
Automation
CI/CD
Linux
Windows
Networking Concepts
Jira
Confluence
Communication Skills
Problem-solving
Strategic Thinking

Job Details

Job Description - Direct Client Requirement

Security Data Architect

Arlington, VA (Onsite)

12 Months Contract

Position Summary

The Security Data Architect is responsible for designing, governing, and optimizing the enterprise security data architecture across identity, cloud, application, and infrastructure domains. This role ensures secure data flows, establishes architecture standards, integrates IAM and cybersecurity data sources, and supports analytics, automation, and compliance initiatives. The architect collaborates with cross-functional teams to define future-state security data capabilities and implement scalable, cloud-native solutions.

Key Responsibilities

  • Security Data Architecture & Design
    • Design end-to-end security data architectures across IAM, SecOps, Cloud Security, and GRC.
    • Define data models, lineage, classification, and access-control standards for security datasets.
    • Develop security data integration patterns across Active Directory, IAM tools, cloud environments, and enterprise applications.
  • IAM & Access Data Integration
    • Integrate identity data from tools such as SailPoint, Okta, Azure AD, and Active Directory.
    • Support access governance, authorization models, and security controls for user lifecycle events.
    • Enhance role-based and attribute-based access models using analytics and automation.
  • Cloud & Container Security Architecture
    • Design and assess cloud-native, container-based security data flows (EKS/ECS, Kubernetes).
    • Recommend architecture improvements, security controls, and automation for cloud and container platforms.
    • Conduct gap analysis, define roadmaps, and implement best practices for secure cloud data operations.
  • Security Analytics & Risk Assessment
    • Perform technical analysis of cross-functional security data impacts and dependencies.
    • Develop documentation covering risks, dependencies, and data flows.
    • Contribute to vulnerability management and automated testing strategies.
  • Collaboration & Stakeholder Engagement
    • Work with cybersecurity teams (IAM, SecOps, Cloud Security, AppSec, GRC) to align data strategy.
    • Communicate architecture decisions and impacts to technical and non-technical stakeholders.
    • Support development of training, documentation, and governance materials.

Required Experience & Skills

  • 10+ years in cybersecurity, IAM, data architecture, or cloud architecture roles.
  • Strong background in IAM platforms (SailPoint, Okta, Azure AD) and Active Directory.
  • Experience with AWS cloud services (EKS/ECS/Fargate) and container security concepts.
  • 5+ years in systems analysis, security operations, or cross-functional technical roles.
  • Ability to map dependencies across security, cloud, data, and application environments.
  • Strong communication, documentation, and problem-solving skills.
  • Experience with ServiceNow, Jira, Confluence, and common security tools.

Education & Certifications (Preferred)

  • Bachelor s in Computer Science, Cybersecurity, or related field.
  • Certifications such as AWS Solutions Architect, Kubernetes (KCNA/KCAD), or security/IAM certifications.

Success Indicators (First 90 Days)

  • Rapid understanding of security data sources, IAM tools, cloud platforms, and dependencies.
  • Clear documentation and mapping of data flows and risk impacts.
  • Effective communication, collaboration, and delivery of recommendations for architecture improvements.
  • Early contributions to automation and self-service enhancements.
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