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Principal Data Operations Lead ​/ Caspian JCRS-D Subject Matter E with Security Clearance

Job in Fort Meade, Anne Arundel County, Maryland, USA
Listing for: Peraton
Full Time position
Listed on 2026-08-06
Job specializations:
  • IT/Tech
    Data Engineering, Information Security & Data Protection, Data Analyst, Data Scientist
Job Description & How to Apply Below
Position: Principal Data Operations Lead / CASPIAN JCRS-D Subject Matter E with Security Clearance
About Peraton Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace.

The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit  to learn how we're keeping people around the world safe and secure. About

The Role Peraton seeks a Principal Data Operations Lead / CASPIAN JCRS-D Subject Matter Expert (SME) to support Department of War Cyber Defense Command (DCDC) with Defensive Cyberspace Operations (DCO) and AI Cyber Security Support.

Location:

Fort Meade, MD. In this role, you will perform advanced statistical analysis, develop ML models, and conduct operational research to support cyber defense decision-making and threat characterization.

Primary Responsibilities:

* Perform as technical authority for Data Acquisition, Standards, and Governance, ensuring all incoming data streams comply with DCDC/ARCYBER standards

* Design complex engineering pipelines
* Oversee compliance with metadata tagging requirements and standards

* Innovate and implement JCRS-D Optimization & Innovation workflows

* Conduct Performance Optimization (Output and Speed), addressing latency/throughput, compute and storage optimization, and troubleshooting/bottleneck resolution

* Conduct quantitative and qualitative analyses to identify operational trends

* Collaborate with mission partners to translate requirements into analytic solutions

* Document analytic workflows and methodologies for knowledge transfer

* Mentor junior data scientists and provide technical guidance
Qualifications

Required Qualifications:

* Minimum of 12 years with BS/BA;
Minimum of 10 years with MS/MA;
Minimum of 7 years with Ph.D.

* Must have minimum of 5+ years of demonstrated experience leading cross-functional Data Operations teams (comprising data engineers, analysts, and system administrators) in high-tempo, mission-critical environments.

* Proven experience serving as the primary technical decision-maker for a large-scale data enterprise, with specific authority over data architecture, infrastructure scaling, and operational data pipelines.

* Authoritative CASPIAN Knowledge:
Must possess verifiable, authoritative-level expertise in the CASPIAN architecture, including its underlying data schemas, integration nodes, and security compliance constraints.

* JCRS-D Optimization &

Innovation: Deep, hands-on technical proficiency in JCRS-D data technologies. The candidate must demonstrate prior success in innovating and implementing custom JCRS-D analytical workflows, rather than just operating existing ones.

* System Integration:
Proven ability to engineer and deploy custom API integrations and data bridges specifically tailored to JCRS-D platforms and upstream/downstream DoD analytics systems.

* Data Acquisition, Standards, and Governance:

* Technical authority to define, enforce, and iterate data acquisition standards, ensuring all incoming data streams comply with DCDC/ARCYBER governance, data tagging, and metadata tagging requirements.

* Expert-level proficiency in designing complex ETL/ELT pipelines using industry-standard enterprise tools (e.g., Apache NiFi, Kafka, Spark) to automate data ingestion from disparate, disconnected tactical and strategic sources.

* Demonstrated capability to implement automated data quality checks, anomaly detection, and schema validation before data enters the CASPIAN/JCRS-D environment.

* Performance Optimization (Output and Speed):

* Must have direct experience engineering low-latency, high-throughput data processing architectures capable of handling massive volumes of structured and unstructured DoD data.

* Advanced proficiency in technical…
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