Saransh Inc
Senior Architect - Geospatial Solutions
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Architect - Geospatial Solutions, offering a remote contract. It requires 12+ years of IT experience, 6+ years in geospatial architecture, expertise in GIS platforms, cloud knowledge, and strong leadership skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 30, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Spatial Data #AWS (Amazon Web Services) #Databases #Cloud #GCP (Google Cloud Platform) #Leadership #Data Modeling #Microservices #ML (Machine Learning) #Oracle #Azure #Visualization
Role description
Position: Senior Architect Geospatial Solutions
Location: Remote
Required Skills & Experience
• 12+ years of IT experience, with at least 6+ years in geospatial solution architecture.
• Strong expertise in GIS platforms (e.g., ESRI ArcGIS, QGIS, Mapbox, Google Maps APIs).
• Proven experience in route optimization algorithms, spatial data modeling, and mapping services.
• Hands on knowledge of cloud platforms (AWS, Azure, GCP) for geospatial workloads.
• Experience with data visualization, spatial databases (PostGIS, Oracle Spatial), and APIs.
• Excellent communication and leadership skills to guide technical teams and engage stakeholders.
• Familiarity with machine learning models for predictive route optimization.
• Exposure to microservices architecture and CI/CD pipelines for geospatial applications.
Position: Senior Architect Geospatial Solutions
Location: Remote
Required Skills & Experience
• 12+ years of IT experience, with at least 6+ years in geospatial solution architecture.
• Strong expertise in GIS platforms (e.g., ESRI ArcGIS, QGIS, Mapbox, Google Maps APIs).
• Proven experience in route optimization algorithms, spatial data modeling, and mapping services.
• Hands on knowledge of cloud platforms (AWS, Azure, GCP) for geospatial workloads.
• Experience with data visualization, spatial databases (PostGIS, Oracle Spatial), and APIs.
• Excellent communication and leadership skills to guide technical teams and engage stakeholders.
• Familiarity with machine learning models for predictive route optimization.
• Exposure to microservices architecture and CI/CD pipelines for geospatial applications.
