This role is for one of the Weekday's clients

Salary range: Rs 100000 - Rs 5500000 (ie INR 1-55 LPA)

Min Experience: 15 years

Location: Haryana

JobType: full-time

As a GIS Architect, you will lead the design and implementation of geospatial solutions that support large-scale applications across agriculture and insurance domains. This role requires deep expertise in spatial data systems, mapping technologies, and analytics to build intelligent, data-driven platforms that enable risk assessment, land analysis, and decision-making. You will work closely with cross-functional teams to architect scalable GIS frameworks using tools like QGIS and ArcGIS, ensuring seamless integration with business systems and advanced analytics capabilities. Your focus will be on leveraging geospatial intelligence to drive innovation in farming insights and insurance modeling while ensuring high performance, accuracy, and usability of spatial solutions.

Key Responsibilities

Design and implement enterprise-level GIS architectures using QGIS, ArcGIS, and related technologies
Develop geospatial solutions for agriculture use cases such as crop monitoring, land mapping, and yield prediction
Build GIS-driven frameworks for insurance applications including risk modeling, claims assessment, and location intelligence
Integrate spatial data with enterprise systems, APIs, and cloud platforms
Lead spatial data modeling, database design, and geoprocessing workflows
Oversee data collection, validation, and transformation for accurate geospatial analysis
Collaborate with business, analytics, and engineering teams to translate requirements into scalable GIS solutions
Optimize performance of GIS systems and ensure high availability and data accuracy
Drive adoption of modern geospatial technologies, automation, and advanced analytics
Provide technical leadership, mentoring teams, and establishing best practices in GIS architecture

What Makes You a Great Fit

15+ years of experience in GIS architecture, geospatial systems, or spatial data engineering
Strong expertise in QGIS, ArcGIS, and geospatial data platforms
Experience working in agriculture (farming analytics, land intelligence) and/or insurance (risk assessment, underwriting models)
Deep understanding of spatial databases, geoprocessing, and mapping technologies
Ability to design scalable, high-performance geospatial solutions
Experience integrating GIS with cloud platforms and enterprise applications
Strong analytical mindset with the ability to translate spatial data into business insights
Proven leadership skills with experience mentoring teams and driving large-scale implementations
Excellent communication and stakeholder management abilities
Passion for leveraging geospatial intelligence to solve real-world problems in farming and insurance domains