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Spatial Data Manager Jobs (NOW HIRING)

WaterSuite

Spatial Data Manager

Braintree, MA · On-site

Spatial Data Manager performs a key role in the operations of WaterSuite by owning and maintaining the spatial data model, overseeing and executing spatial data processes as well as working with ...

WaterSuite

Spatial Data Manager

Braintree, MA · On-site

Spatial Data Manager performs a key role in the operations of WaterSuite by owning and maintaining the spatial data model, overseeing and executing spatial data processes as well as working with ...

Cushman & Wakefield

Spatial Data Manager

$89K/yr

Job Title Spatial Data Manager Summary The role of the Spatial Data Manager (SDM) will be responsible for day-to-day functionality of the client's Space Management tool including data integrity of CA ...

Cushman & Wakefield

Spatial Data Manager

$89K/yr

Job Title Spatial Data Manager Summary The role of the Spatial Data Manager (SDM) will be responsible for day-to-day functionality of the client's Space Management tool including data integrity of CA ...

Cushman & Wakefield

Spatial Data Manager

$89K/yr

Job Title Spatial Data Manager Summary The role of the Spatial Data Manager (SDM) will be responsible for day-to-day functionality of the client's Space Management tool including data integrity of CA ...

Cushman & Wakefield

Spatial Data Manager

$89K/yr

Job Title Spatial Data Manager Summary The role of the Spatial Data Manager (SDM) will be responsible for day-to-day functionality of the client's Space Management tool including data integrity of CA ...

Cushman & Wakefield

Spatial Data Manager

$89K/yr

Job Title Spatial Data Manager Summary The role of the Spatial Data Manager (SDM) will be responsible for day-to-day functionality of the client's Space Management tool including data integrity of CA ...

Esri

Spatial Data Engineer II

Redlands, CA · On-site

$115K - $138K/yr

As a Spatial Data Engineer on the geocoding team, you will work with massive spatial data from both ... Ability to manage priorities and tasks as needed in a fast-paced work environment * A keen ...

Esri

Spatial Data Engineer II

Redlands, CA · On-site

$79K - $133K/yr

As a Spatial Data Engineer on the geocoding team, you will work with massive spatial data from both ... Ability to manage priorities and tasks as needed in a fast-paced work environment * A keen ...

Eightelevengroup

Sr. Data Scientist

Indianapolis, IN · On-site

$80 - $88/hr

Build, validate, and maintain spatial data models and pipelines * Query and manage geospatial datasets using PostgreSQL with PostGIS * Work with geospatial data formats including GeoJSON, Shapefile ...

Fervo Energy

GIS Data Administrator

Salt Lake City, UT · On-site

Support due diligence activities for land acquisitions and project financings by preparing accurate spatial data packages and summaries. * Contribute to internal GIS documentation, data management ...

The Trail Conservancy

GIS & Data Manager

Austin, TX · On-site

$65K - $70K/yr

Support grant reporting by providing spatial data, impact maps, and quantitative trail usage ... Demonstrated ability to manage, clean, and analyze geospatial datasets; working knowledge of ...

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Spatial Data Manager information

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$31K

$97.1K

$172K

How much do spatial data manager jobs pay per year?

As of Sep 14, 2026, the average yearly pay for spatial data manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is a spatial data manager?

Spatial Data Managers are professionals responsible for organizing, maintaining, and overseeing spatial or geographic data within an organization. They ensure the accuracy, accessibility, and security of geospatial datasets used in mapping, analysis, and decision-making processes. Their role often involves using Geographic Information Systems (GIS), coordinating with other technical staff, and developing data management standards and protocols. Spatial Data Managers support various industries, including urban planning, environmental science, utilities, and transportation.

What are the key skills and qualifications needed to thrive as a spatial data manager?

To excel as a Spatial Data Manager, you need expertise in geospatial data analysis, spatial database management, and a degree in geography, GIS, or a related field. Familiarity with GIS software (such as ArcGIS or QGIS), database systems (like PostgreSQL/PostGIS), and data standards is typically required. Strong organizational skills, attention to detail, and effective communication are vital soft skills for managing complex datasets and collaborating with stakeholders. These abilities ensure accurate data management, efficient workflows, and informed decision-making in organizations reliant on spatial information.

What are some common challenges spatial data managers face when maintaining large geospatial databases?

Spatial Data Managers often encounter challenges related to data quality, integration of multiple data sources, and ensuring data consistency across platforms. Managing large volumes of geospatial data requires robust organizational systems and regular data validation to prevent errors or duplication. Additionally, they must stay up-to-date with evolving GIS technologies and standards while coordinating with cross-functional teams like analysts, engineers, and project managers to support various mapping and spatial analysis needs.

What is the difference between Spatial Data Manager vs GIS Analyst?

AspectSpatial Data ManagerGIS Analyst
CredentialsBachelor's or higher in GIS, Geography, or related field; GIS certificationsBachelor's or higher in GIS, Geography, or related field; GIS certifications
Work EnvironmentData management teams, GIS departments, urban planning firmsMapping projects, spatial analysis teams, environmental agencies
Industry UsageOrganizations managing large spatial datasets, government agenciesAnalysis and visualization of spatial data for projects
Search & ComparisonFocuses on data management, database systems, and infrastructureFocuses on spatial analysis, mapping, and GIS software applications

The main difference is that a Spatial Data Manager oversees the organization, storage, and maintenance of spatial datasets, ensuring data quality and accessibility. In contrast, a GIS Analyst primarily conducts spatial analysis and creates maps using GIS software. Both roles require similar credentials but serve different functions within GIS projects.

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Cities with the most Spatial Data Manager job openings:

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What are popular job titles related to Spatial Data Manager jobs?

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Spatial Data Manager jobs near you
Infographic showing various Spatial Data Manager job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Spatial Data Manager

Braintree, MA • On-site

WaterSuite
Software Development • 11 - 50 employees
Learn more about WaterSuiteexternal

Full-time

Re-posted 16 days ago

Job description

Company Description
WaterSuite is a cloud based geospatial platform housing a large and growing inventory of spatial data layers of all types and sizes from numerous sources. WaterSuite is a unique and valuable resource for the drinking water community, supporting source water protection and online monitoring efforts, and is in use by many clients, including drinking water utilities, municipalities and states.
Job Description
Spatial Data Manager performs a key role in the operations of WaterSuite by owning and maintaining the spatial data model, overseeing and executing spatial data processes as well as working with other team members to evolve the data model and processes to address emerging needs.
Responsibilities:
  • Owns the spatial data model (conceptual level down to attribute level) and ensures compliance
  • Owns the spatial data processes and ensures timely and orderly execution
  • Spatial data processes include periodic layer updates with change tracking for hundreds of layers
  • Keeps documentation on spatial data model and processes current
  • Curates newly requested spatial data layers
  • Works with team members to extend or modify the spatial data model
  • Works with team members to build new processes or improve existing ones
  • Advises application development team on spatial functionality
  • Responds to ad-hoc spatial data or analysis requests
  • Trains other team members on spatial data model and processes as needed
  • Participates in agile teams, collects/reviews user stories, extracts requirements, creates/curates tickets
  • Prepare/participate/present in company events, workshops, conferences or other venues

Qualifications
Required Skills/Experience:
  • Keen attention to detail
  • Experience working with spatial data at scale
  • Experience working with large databases
  • Experience with PostgreSQL, PostGIS, SQL
  • Understanding of GIS and spatial concepts, tools, processes
  • Understanding of basic relational database concepts
  • Able to handle multiple tasks in a fast-paced environment
  • Excellent verbal, written, and interpersonal communication skills
  • Collaborative problem solver
  • Critical thinking to evaluate alternative solutions

Preferred Skills:
  • Familiarity with drinking water concepts, hydrology, watershed science or similar
  • Degree in computer science, geography, environmental science or relevant field
  • GISP, PMP or other relevant certification
  • Programming skills in python, R, JavaScript or similar

Additional Information
Location: Remote initially then Braintree, MA (at exit 6 off Route 93)
All your information will be kept confidential according to EEO guidelines.
Keywords: PostgreSQL, Postgres, PostGIS, PG Admin, SQL, QGIS, ESRI ArcGIS, geospatial analysis and visualization, geography, cartography, hydrology, map making, emergency response, hazard/risk analysis, watershed, JIRA, Atlassian Confluence, Slack, OpenLayers, python, jupyter notebooks, Azure Data Studio, R, JavaScript, TypeScript, ETL, ogr2ogr, GDAL, Cassandra, Docker, Vue.js, REST API, Tableau, Google Sheets, Excel, Amazon AWS

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