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# Data Architect

- **Company:** Peraton Inc
- **Location:** Chantilly, VA, United States
- **Salary:** $146,000.0 - $234,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Systems Engineering, Data Architecture, Data Integration, Extract Transform Load (ETL), Query Languages, Software Debugging, Graph Database, Python (Programming Language), Neo4j, Node.Js, NoSQL, Software Engineering, Load Balancing, Autoscaling, Data Analytics, Apache Kafka, Data Management, Restful APIs, Docker, Programming Languages, Microservices
- **Published:** September 4, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9144268/data-architect

## About the Role

* Active TS/SCI security clearance with relevant polygraph
 * Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; an additional four years of experience may be considered in lieu of a degree.
 * Demonstrated proficiency in relevant programming languages (Java, Python, Node.js, etc.)
 * Experience with server-side frameworks and libraries
 * Understanding of RESTful APls and microservices architecture
 * Familiarity with database integrations (relational, NoSQL, Graph)S
 * Demonstrated experience managing AWS services including C2S, S3, EC2, Load balancers, ECR, subnets, autoscaling groups and users/groups, Lambda, MSK, SageMaker, Docker, Kafka, KMS and
 * Problem-solving and debugging
 * Continuous learning of new back-end technologies
 * Experience defining, building, operating Extract Transform and Load (ETL) pipelines
 * Experience developing at least 1 or more programming languages, like Python, Cypher
 * Demonstrated experience producing data analytics products
 * Sys admin knowledge, like DTO, SOPs, A&A.
 * Desired: Neo4j Graph database technologies and cypher query language
 * Desired: Palantir Foundry (desired for the next year or so, then no longer need)

## Description

* Develop data models, diagrams, flow charts, and other system engineering-related documentation to problem-solve, identify improvements, create standards, and facilitate cross-organizational collaboration
 * Translate business requirements into technical solutions
 * Leverage multiple data management tools to organize relevant information and make decisions
 * Finesse large amounts of data into manageable interfaces
 * Document and adhere to a development plan
 * Apply an agile approach to software development consistent with customer project management and software development frameworks
 * Collaborate with front-end developers and other stakeholders


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