Geospatial Resilience Solutions Architect

Who We Are:

Headquartered in Washington, DC, Versar Global Solutions provides full mission lifecycle solutions for challenges faced by our government and commercial Customers in the natural, built, and digital environments. With nearly 1,600 team members around the world, and a rich legacy spanning more than 50 years, Versar Global Solutions delivers a broad array of planning, analysis and risk management solutions, project and program management, operations and maintenance services, and information technology applications for environmental management and remediation projects, mission critical facilities and installations, and in support of readiness and contingency operations.

Who You Are:

Versar Global Solutions is seeking a Geospatial Resilience Solutions Architect to support the growth of its Geospatial Decision Support (GDS) capability within the Environmental Management Services (EMS) Market Sector. This role will support the development of advanced geospatial, remote sensing, AI-enabled, and environmental modeling solutions that help government and commercial clients better understand and respond to resilience challenges including flooding, erosion, wildfire, water security, landscape degradation, and infrastructure vulnerability.

The successful candidate will work across interdisciplinary technical teams to design and implement innovative geospatial workflows, analytics pipelines, and decision-support tools that integrate environmental science, machine learning, remote sensing, and spatial data analysis. The position will support a growing portfolio of digital resilience and environmental intelligence applications, with opportunities to contribute to proposal development, technical strategy, customer engagement, and long-term capability growth.

This role is ideal for a technically strong and highly collaborative individual with expertise in GIS, Python-based analytics, environmental systems, and geospatial data integration who is interested in helping shape next-generation resilience and decision-support capabilities.

What You'll Do:

• Develop and implement geospatial and environmental modeling workflows supporting resilience analysis related to flooding, erosion, wildfire, water security, infrastructure vulnerability, and landscape change.
• Build reusable geospatial, machine learning, and remote sensing pipelines using tools such as Python, ArcGIS Pro, Google Earth Engine, and cloud-based geospatial platforms.
• Integrate diverse environmental datasets including remote sensing products, terrain data, hydrologic information, climate datasets, and field observations into scalable analytical workflows.
• Support development of AI-enabled geospatial decision-support applications and visualization tools for government and commercial clients.
• Coordinate across interdisciplinary technical teams to ensure analytical outputs, visualizations, and technical findings are communicated effectively to both technical and non-technical stakeholders.
• Contribute to project planning, technical execution, and workstream coordination across multiple concurrent projects.
• Support proposal development, technical scoping, white papers, capability development, and identification of strategic partners and collaborators.
• Assist in development of innovative approaches that combine geospatial analytics, environmental science, machine learning, and resilience planning.
• Support the evolution of internal geospatial and resilience analytics capabilities through development of repeatable tools, standards, and workflows.
• Participate in customer engagements, technical briefings, workshops, and collaborative solution development efforts.

What You'll Bring:

• Strong GIS and geospatial analytics capabilities using ArcGIS Pro, QGIS, Google Earth Engine, or similar platforms.
• Proficiency in Python for geospatial analysis, automation, data processing, and/or machine learning workflows.
• Knowledge of environmental systems, earth sciences, hydrology, climate science, landscape processes, or related disciplines.
• Experience integrating remote sensing and spatial datasets into analytical and visualization workflows.
• Familiarity with machine learning techniques and environmental data applications.
• Ability to communicate complex technical findings clearly through maps, dashboards, visualizations, and presentations.
• Strong organizational and coordination skills with the ability to manage multiple technical workstreams simultaneously.
• Demonstrated ability to work effectively within interdisciplinary teams.
• Strong written and verbal communication skills.
• Must be proficient in English, both written and verbal, to ensure effective communication and collaboration.
• Successful results of preemployment screenings, including federal background check, MVR, and drug screen.
• Comply with company drug and alcohol policy.
• Be authorized to work in the US or will be authorized by the successful candidate's start date.

• Experience with environmental resilience, hazard analysis, or nature-based solutions applications.
• Familiarity with cloud-based geospatial analysis environments and large environmental datasets.
• Experience supporting federal clients, defense installations, infrastructure resilience programs, or environmental planning initiatives.
• Experience contributing to business development, proposal writing, or technical capture efforts.
• Experience developing reusable analytical frameworks, data pipelines, or decision-support tools.
• Interest in advancing AI-enabled environmental and geospatial applications.

• This role is intended to evolve over time toward increasing technical leadership and project responsibility, including opportunities to lead project workstreams, manage client relationships, oversee multidisciplinary teams, and help shape the strategic direction of Versar's digital resilience and geospatial analytics capabilities.

Compensation

Expected Salary: $90,000 - $110,000 per year

Versar Global Solutions provides the compensation range and general description of other compensation and benefits that the Company in good faith believes it might pay and/or offer for this position based on the successful applicant's education, experience, knowledge, skills, and abilities in addition to internal equity and geographic location. The Company reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant's status protected by local, state, or federal law.

Location Requirements

The position will primarily work remotely.

EEO Commitment

Versar Global Solutions is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.

Versar Global Solutions complies with applicable state and local laws governing non-discrimination in employment in every location in which the company operates. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Versar Global Solutions expressly prohibits any form of unlawful employee harassment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, amnesty, or status as a covered veteran. Improper interference with the ability of Versar Global Solutions employees to perform their job duties is not tolerated.

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