Senior Cloud GIS Modernization Lead

## Job Description Dewberry is seeking a Senior Geospatial Technology Manager to serve as the Cloud GIS Modernization Lead for a mission-critical geospatial technology engagement. This position is intentionally focused on the systems modernization portion of the work rather than overall contract management. The role will lead technical architecture, migration planning, cloud optimization, environment readiness, and operational documentation for the geospatial infrastructure that supports enterprise data collection, mapping, analysis, reporting, and decision-support capabilities. The successful candidate will provide senior hands-on technical leadership for modernizing legacy GIS workflows, strengthening enterprise cloud reliability, improving data storage and lifecycle governance, and preparing scalable test and production environments for operational use. The role requires the ability to bridge GIS operations, cloud engineering, DevSecOps, cybersecurity, data governance, and stakeholder communication with client IT, geospatial, and application teams. *Dewberry is a leading, market-facing professional services firm with more than 60 locations and 2,500 professionals nationwide. What sets us apart from our competitors are our people. At Dewberry, we seek out exceptional talent and strive to deliver the highest quality of services to our clients. Whether you’re an experienced professional or a new graduate, you’ll have the chance to collaborate with the best and brightest and work on innovative and complex projects at the forefront of the industry. Our commitment to excellence stems from our personal integrity and from other defining attributes, which we call “Dewberry at Work,” that have inspired our employees to be successful for more than a half-century.* ## Responsibilities - **Modernize and Optimize Legacy GIS Workflows and Automations** - Assess current GIS workflows, applications, scheduled tasks, scripts, data-processing jobs, and automations operating on traditional compute instances, virtual machines, file shares, or other legacy infrastructure. - Develop practical modernization roadmaps that transition appropriate workloads to containerized, serverless, or cloud-native patterns such as Docker, Kubernetes, managed container services, functions-as-a-service, or automated workflow orchestration. - Define target-state architecture, sequencing, dependencies, risks, rollback approaches, validation procedures, security considerations, and operational acceptance criteria for each migration candidate. - Coordinate with client IT, cloud, cybersecurity, geospatial operations, application development, and data-management teams to ensure migrated workflows preserve mission functionality, access controls, data integrity, observability, and maintainability. - Document the migration process and produce migration plans, completion reports, testing summaries, operational validation records, lessons learned, and recommended next steps. - **Optimize Production Storage and Geospatial Data Management** - Analyze current production storage patterns, data growth, access frequency, retention needs, cost drivers, performance constraints, and operational dependencies across enterprise geospatial repositories. - Design and lead implementation of storage optimization approaches using object storage, managed file systems, lifecycle policies, archival tiers, deduplication concepts, metadata standards, data-retention rules, and automated “last use” criteria. - Ensure production storage solutions support client requirements for security, integrity, accessibility, recoverability, operational continuity, and appropriate user or system access. - Develop and maintain storage optimization plans, data management plans, implementation reports, standard operating procedures, and training materials for technical users and system administrators. - Collaborate with application, data integration, analytics, and operations teams so storage decisions support near…