SOSi

Risk

• Establish and maintain metadata governance frameworks
• Ensure compliance with DoD data management policies and interoperability with Data Catalog
• Develop automated metadata tagging processes to improve data discoverability, classification, and lineage tracking within the Common Intelligence Picture (CIP) platform
• Implement and manage data governance workflows
• Integrate OpenLineage, Unity Catalog, and GIS metadata standards
• Submit the Metadata & Data Governance Compliance Report detailing lineage tracking, classification policies, and security enhancements
• Support a scalable, federated data ecosystem for a DoD customer
• Enable interoperability, real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities

Data Governance, Metadata Scientist

DevOps Engineer

• Support mission requirements for further development, integration, and sustainment of a scalable, federated data ecosystem
• Create and maintain environment-specific Kubernetes configuration packages, including Helm values files and YAML manifests
• Incorporate STIG-aligned hardening and RBAC policy enforcement per IL environment
• Implement and manage secrets injection strategies using FedRAMP-compliant tools such as AWS Secrets Manager and Azure Key Vault
• Integrate CI/CD pipelines for secure, automated deployment and rollback of ArcGIS components and related services
• Coordinate with Kubernetes and Data Layer Engineers on version control, pipeline integrity, and integration testing for containerized services under WO-003
• Coordinate with the WO-009 infrastructure team to estimate cloud resource usage for Kubernetes deployments in IL2, IL4, and IL5 environments
• Supply container and workload specifications to support provisioning, tagging, and prepay or reservation planning
• Implement resource tagging according to program-wide cloud governance policy
• Reconcile actual usage against estimates provided by WO-009
• Support cost optimization by adjusting workloads and scaling strategies based on performance and utilization feedback