Data Engineer/Analyst maintaining and improving data infrastructure for Braiins. Collaborating with technical and business teams to ensure reliable data flows and insights.
About the role
- Journeyman Data Architect supporting Leidos' enterprise data and analytics program for the Department of War. Collaborating on solutions for data architecture, cloud environments, and governance.
Responsibilities
- Support design and implementation of data architecture solutions including data models, schemas, and data integration patterns.
- Develop and implement enterprise-level data strategies and architectures to enhance data acquisition and transformation.
- Support the design, build, and maintenance of core data infrastructure and pipelines for the platform.
- Assist in defining and maintaining enterprise data architecture standards, frameworks, and best practices.
- Support development of data pipelines and data flows across multiple systems and environments.
- Collaborate with data engineers, data scientists, and software engineers to ensure alignment between data architecture and implementation.
- Assist in design and implementation of data storage solutions (e.g., data lakes, data warehouses, and distributed data systems).
- Support data governance efforts including metadata management, data lineage, and access control documentation.
- Contribute to development of data catalogs and data discovery capabilities.
- Establish and maintain a robust data governance framework, including policy development and compliance enforcement.
- Support integration of data architectures into DevSecOps pipelines and system development lifecycle processes.
- Troubleshoot data integration and architecture issues and support performance optimization.
- Document data architecture designs, standards, and processes.
- Conduct root cause analysis for recurring issues and implement solutions to prevent future occurrences.
- Proactively communicate with customers regarding known issues and new features.
- Manage user access and permissions for data tools, ensuring security and compliance.
- Develop and maintain training materials and a centralized knowledge repository for data operations.
- Participate in SAFe ceremonies including sprint planning, backlog refinement, sprint reviews, and retrospectives.
Requirements
- Active Secret clearance with SCI eligibility.
- Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or related technical discipline and 4–8 years of relevant experience OR Master’s degree in a related field and 2–6 years of relevant experience.
- Minimum of 4 years of experience in data architecture, engineering, or related roles.
- Experience supporting data architecture, data modeling, or data engineering activities.
- Experience working with relational and non-relational databases.
- Experience integrating data architectures with DevSecOps pipelines and CI/CD processes.
- Experience designing enterprise-scale data architectures in cloud environments (e.g., AWS, Azure, or GCP).
- Experience working with data platforms and tools (e.g., SQL, Spark, Kafka, or similar).
- Experience supporting data governance or metadata management concepts.
- Strong leadership and communication skills.
- Experience in customer support and engagement initiatives.
Benefits
- competitive compensation
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
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