Senior Cloud Gis Modernization Lead

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, Dev Sec Ops , cybersecurity, data governance, and stakeholder communication with client IT, geospatial, and application teams.

• 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.

• 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‑real‑time workflows, dashboards, geospatial analysis, field data collection, mobile workflows, and future platform growth.

• Lead technical planning for fully functional development, test, staging, or training environments that leverage cloud‑native services, automation, configuration management, and on‑demand provisioning where appropriate.
• Support cloning, replication, infrastructure‑as‑code, or configuration synchronization approaches that maintain parity with production environments while reducing configuration drift and improving test reliability.
• Define environment inventories, provisioning/decommissioning procedures, resource documentation, validation steps, access controls, security considerations, cost controls, and operations‑and‑maintenance practices.
• Support software evaluation, prototype testing, integration testing, performance testing, security review, and…