Geospatial Data Engineer (ArcGIS / Spatial Analytics / Automation)

About the Role

This role focuses on designing, developing, and maintaining enterprise geospatial platforms, spatial data pipelines, and web GIS solutions. You will be involved in geospatial data engineering, spatial analytics, automation, and platform operations across cloud and on-prem environments.

Key Responsibilities

• Design and maintain enterprise geodatabases including file and enterprise geodatabases, feature classes, domains, subtypes, and topology rules.
• Build ETL/ELT pipelines for vector, raster, and imagery datasets.
• Conduct data quality validation, schema versioning, coordinate system management, and metadata governance.
• Utilize geospatial processing tools such as ModelBuilder, Python-based GIS libraries, or FME.

• Publish, optimize, and manage map, feature, and image services.
• Configure Portal content, groups, and sharing workflows.
• Develop GIS solutions using Web AppBuilder, Experience Builder, Dashboards, Field Maps, Survey123, or StoryMaps.
• Support development of custom GIS web applications and widgets using JavaScript SDKs or REST APIs.

• Perform advanced spatial analysis including network, proximity, suitability, spatial statistics, and 3D visualization.
• Process large datasets using GeoAnalytics, Raster/Spatial Analyst, or Image Analyst tools.
• Develop reusable geoprocessing models, notebooks, and scheduled analytics workflows.

• Automate GIS administrative operations such as user management, monitoring, and backup workflows.
• Integrate GIS platforms with enterprise systems such as databases, data lakes, ERP, or CRM using APIs, webhooks, or middleware.
• Support real-time or event-driven spatial data workflows when required.

• Support deployment and optimization of GIS platforms in on-premises or cloud environments (AWS or Azure).
• Monitor platform performance including caching, indexing, and cost efficiency.
• Support governance policies for authentication, authorization, and data security.

• Bachelor’s degree in Computer Science, Information Technology, Geospatial Science, Engineering, or related field.
• 2–5 years of experience in GIS development, geospatial data engineering, or spatial analytics.
• Hands-on experience with ArcGIS Enterprise, Server, or Online platforms.
• Strong Python scripting skills for automation and data processing.
• Knowledge of SQL databases such as PostgreSQL/PostGIS or SQL Server.
• Experience in AWS or Azure cloud platforms is an advantage.

• Experience in DevOps, containerization, or CI/CD practices.
• Knowledge of real-time GIS, IoT spatial integration, or streaming data.
• Familiarity with frontend GIS frameworks or modern web development.

EA Personnel No: R1105313