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Atos

Geospatial Solution and Data Architect

Atos

. Design the overall GIS solution architecture for interactive mapping and future spatial analytics capabilities .

Posted 10/6/2026full-timeBangalore • IndiaSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in GIS solution architecture, application design, and data integration, with a strong focus on leveraging tools like ArcGIS and FME for spatial analytics and enterprise data workflows. Proven ability to assess and implement scalable GIS architectures that support analytical capabilities and integration with enterprise systems.

Highest-signal resume keywords
GIS Solution ArchitectureArcGIS EnterpriseFME or Equivalent GIS ETL ToolsSpatial Data ModelingMicrosoft Fabric

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
GIS Application DesignInteractive Web GISGeospatial Data IntegrationSpatial Analytics SolutionsPython for Geospatial Data ProcessingPostGISSQL ServerOracle SpatialArcGIS REST APIData Migration
Tools & Technologies
ArcGIS OnlineArcGIS ProAzure MapsMapboxAzure Data FactoryPower BIFabric AnalyticsData LakeLakehouseEnterprise Applications
Industry Keywords
Geospatial Data ModelsSpatial Data ArchitectureAPI IntegrationData FlowsLarge-Scale Data Integration

Tech Stack

Tools & technologies
AzureCloudETLOraclePostGISPostgresPythonSQL

About the role

Key responsibilities & impact
  • Design the overall GIS solution architecture for interactive mapping and future spatial analytics capabilities
  • Design GIS applications using ArcGIS Enterprise, ArcGIS Online and ArcGIS Experience Builder, while evaluating alternatives such as Azure Maps and Mapbox
  • Assess existing ArcGIS environments and enterprise applications to identify reusable datasets, services, APIs and geospatial layers
  • Define data discovery, extraction, transformation, integration and migration from enterprise systems into the new GIS platform
  • Design GIS data integration architecture using FME or equivalent GIS integration/ETL tools
  • Define integration patterns between GIS, enterprise applications, APIs and data platforms with enterprise architects and data teams
  • Define geospatial data models, feature classes, layers, relationships and spatial data structures
  • Translate analytical requirements into GIS data models and spatial analytical solutions with the analytics team
  • Design architecture for future spatial analytics, location intelligence and GIS-based decision-support capabilities
  • Assess Microsoft Fabric, Data Lake and Lakehouse suitability for GIS and analytical workloads
  • Define data flows between Microsoft Fabric, GIS platforms, enterprise applications and analytical solutions
  • Ensure GIS architecture supports scalability, security, performance, API integration and future expansion
  • Provide technical guidance to GIS developers, data engineers, integration teams and analytical teams

Requirements

What you’ll need
  • 12+ years of overall IT experience
  • 5+ years of hands-on experience in GIS solution architecture / GIS application design
  • Strong experience with ArcGIS Enterprise / ArcGIS Online / ArcGIS Pro
  • Experience designing interactive web GIS / mapping applications
  • Strong understanding of GIS architecture, spatial data architecture and GIS application components
  • Strong experience with FME or equivalent GIS ETL/integration tools
  • Experience integrating GIS with enterprise applications, APIs and databases
  • Experience with GIS data modeling and spatial database concepts
  • Experience defining GIS analytical / spatial analytics solutions
  • Ability to evaluate and integrate geospatial platforms such as ArcGIS, Azure Maps, Mapbox or equivalent
  • Microsoft Fabric / OneLake / Lakehouse experience
  • Azure Data Factory / Azure Data Platform
  • PostGIS / PostgreSQL / SQL Server / Oracle Spatial
  • ArcGIS REST API / Feature Services / Map Services
  • Python for geospatial data processing
  • Power BI / Fabric analytics
  • Experience with cloud-based GIS architecture
  • Experience with large-scale enterprise data integration

Benefits

Comp & perks
  • Diversity and inclusion embedded in Atos's DNA
  • Fair work environment commitment