Consolidated Data Analytics Platform Systems Administrator, Lead

Booz Allen Hamilton•Pensacola, MD

About The Position

You'll be responsible for the design, deployment, operation, and sustainment of enterprise-level data analytics platforms supporting Mission Partner Environments (MPE). This role ensures secure, reliable, and high-performance infrastructure and services that enable data sharing and analytics across multi-domain and multinational partners. You will serve as a technical authority, guiding system architecture, integration, and operational best practices. With your motivation to establish processes and facilitate technological innovation, you’ll make a lasting impact on our data architectures and solutions.

Requirements

3+ years of experience as a Linux Systems Administrator in a security environment
2+ years of experience leading a team of Systems Administrators
Experience with Linux operating systems such as RHEL, CentOS or Ubuntu
Experience with vulnerability scanning tools such as Nessus, OpenVAS and remediation processes
Experience with identity and access management (IAM) concepts
Experience in scripting and automation with Bash, Python, or Ansible
Knowledge of system hardening standards such as STIGs or CIS Benchmarks
Knowledge of log management and SIEM platforms such Splunk or ELK
Secret clearance
HS diploma or GED

Nice To Haves

Experience with container security such as Docker and Kubernetes
Experience with endpoint detection and response (EDR) tools
Experience in the DoW, Intelligence Community, or other regulated environments
Knowledge of SELinux, AppArmor, and kernel-level security controls
Knowledge of Zero Trust Architecture (ZTA) principles

Responsibilities

Design, deployment, operation, and sustainment of enterprise-level data analytics platforms supporting Mission Partner Environments (MPE).
Ensure secure, reliable, and high-performance infrastructure and services that enable data sharing and analytics across multi-domain and multinational partners.
Serve as a technical authority, guiding system architecture, integration, and operational best practices.
Establish processes and facilitate technological innovation for data architectures and solutions.