Senior Elastic Architect/Engineer

ASRC Federal•Quantico, VA

4d•Hybrid

About The Position

ASRC Federal is seeking a highly skilled and experienced Elastic Architect/Engineer to join our dynamic team. The successful candidate will be responsible for the design, implementation, and optimization of our Elastic Stack infrastructure. This role is critical for building and maintaining robust, scalable data solutions that provide actionable insights from complex data sets. The ideal candidate will have a strong background in data architecture, search technologies, and big data processing. This position will support our DCSA contract based at Quantico VA. Remote flexibility available! Telework offered with a requirement to be onsite up to three (3) days a week at Quantico Marine Corps Base VA. The Elastic Architect/Engineer is a critical role responsible for the design, implementation, maintenance, and operational support of the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats). This position focuses on architecting solutions for large-scale data ingestion, real-time search and analytics, and visualization to maintain a strong data-driven decision-making capability and adhere to relevant data governance policies. The Elastic Architect/Engineer will collaborate with cybersecurity professionals, engineers, and IT staff to build and enhance data pipelines, create insightful dashboards, and improve the overall data platform.

Requirements

Bachelor's degree with 10+ years of experience or equivalent in data architecture, search engineering, or big data solutions.
Active Top-Secret Clearance REQUIRED, eligible to be upgraded to TS/SCI
Must meet 8570 IASAE III certification requirements at the time of hire. (e.g., CISSP-ISSAP, CISSP- ISSEP certification)

Nice To Haves

Bachelor’s Degree, in Cybersecurity, and/or Information Systems Management
Elastic Certified Engineer (ECE) certification.

Responsibilities

Design and architect scalable, high-performance Elastic Stack solutions to meet business and technical requirements.
Develop and maintain data models, index strategies, and shard allocation plans.
Install, configure, and maintain Elastic Stack components in cloud or on-premise environments.
Build and manage data ingestion pipelines using Logstash, Beats, and other integration tools (e.g., Kafka).
Implement data transformation, enrichment, and parsing logic to prepare data for indexing.
Ensure data quality, integrity, and availability across the platform.
Develop complex search queries, aggregations, and analytics to extract insights from data.
Design and create insightful and interactive dashboards and visualizations in Kibana.
Work with stakeholders to understand their data needs and build custom analytics solutions.
Monitor cluster health and performance, proactively identifying and resolving bottlenecks.
Optimize index performance, query speed, and resource utilization.
Perform capacity planning to ensure scalability for future growth.
Perform system administration tasks for the Elastic cluster, including upgrades and patching.
Implement and manage security for the Elastic Stack, including role-based access control (RBAC), encryption, and SSO.
Develop and maintain backup and disaster recovery strategies for the data platform.
Collaborate with development teams to integrate applications with the Elastic Stack.
Provide expert-level support and guidance to users of the platform.
Troubleshoot and resolve complex issues related to the Elastic ecosystem.
Stay up-to-date with the latest Elastic Stack features, best practices, and industry trends.
Research and evaluate new technologies and plugins to enhance platform capabilities.
Document architectural standards, procedures, and best practices.