Peraton is seeking a Senior Systems Architect / Data Engineer to lead the design and implementation of enterprise-scale cloud data solutions supporting ARCYBER Platform Management Support project
Requirements
- Proven track record architecting or supporting cloud-based data systems in AWS
- Strong development experience in Java, and Python
- Strong expertise with data pipeline frameworks (like Kafka, Apache NiFi, Spark, Prefect/Airflow)
- Knowledge of enterprise architecture practices and ability to conduct EA and gap analyses
- Proficiency in SQL, and AWS CLI
- Experience with both SQL and NoSQL storage methods, and data warehousing strategies
- Cloud certifications (AWS Solutions Architect, AWS Data Engineering, or equivalent)
Responsibilities
- Architect and support cloud-native data systems on AWS, including compute (EC2), storage (S3), networking, and IAM
- Develop and maintain data parsers (primarily in Java, with Python for scripting/automation) for structured and unstructured sources
- Design and maintain large-scale pipelines leveraging Kafka, Apache NiFi, and containerized environments (Docker/Kubernetes)
- Optimize data storage (SQL and NoSQL) for performance, scalability, and governance
- Implement schema standards (e.g., Elastic Common Schema) and metadata cataloging to ensure consistency across diverse sources
- Support enterprise architecture efforts, conducting gap analyses (comparing current and target state architectures) and proposing solutions
- Mentor junior engineers and enforce best practices in version control, CI/CD, and documentation
Other
- Bachelor’s degree in Computer Science, Systems Engineering, or related field and 12+ years of experience, 10 years with MS, or 7 years with PhD
- Active TS SCI with ability to obtain Polygraph, and MEAD clearance
- U.S Citizenship required
- Strong collaboration skills to work across cross-functional teams and customers
- IAT Level II certification (Sec+) or higher
