GIS Architect
Accountabilities: Architect, design, and implement enterprise GIS systems and spatial data platforms that meet business, technical, scalability, and performance requirements.
Design, manage, and optimize spatial databases using PostgreSQL and PostGIS, including advanced spatial queries, indexing strategies, database optimization, and performance tuning.
Develop robust, multi-tenant or customer-segregated data models that support secure data separation, efficient access, and reliable management of geospatial information.
Establish data ingestion, transformation, validation, and processing workflows for GIS datasets from public agencies, government portals, and other relevant sources.
Manage and process common GIS data formats, including Shapefiles, GeoJSON, GML, and KML, ensuring data consistency and interoperability across systems.
Apply knowledge of coordinate reference systems, map projections, and coordinate transformations to maintain spatial accuracy and compatibility across diverse datasets.
Integrate spatial databases with APIs, web-based map viewers, and enterprise applications to enable seamless access to geospatial information.
Work with QGIS and comparable GIS desktop tools to support spatial data analysis, visualization, validation, and interaction with spatial databases.
Evaluate and implement appropriate GIS technologies, libraries, and frameworks, such as GeoServer, MapServer, GDAL/OGR, and FME, according to project needs.
Design and support cloud-based or cloud-native geospatial architectures, leveraging platforms such as AWS or GCP where appropriate.
Ensure GIS solutions follow sound architectural practices for data security, system reliability, scalability, maintainability, and operational efficiency.
Collaborate with development, data engineering, infrastructure, and business teams to translate requirements into practical GIS architecture and implementation plans.
Troubleshoot complex spatial database and data integration issues, identify performance bottlenecks, and implement sustainable technical improvements.
Maintain awareness of relevant GIS standards, emerging geospatial technologies, and industry-specific requirements, particularly in utilities and municipal infrastructure where applicable.
Requirements:
Bring at least 8 years of professional experience architecting, designing, and building enterprise GIS systems or spatial data platforms.
Demonstrate strong hands-on expertise in PostgreSQL and PostGIS, including spatial indexing, advanced spatial queries, database architecture, and performance tuning.
Have experience designing multi-tenant architectures or customer-segregated data models that support secure and efficient management of spatial information.
Possess practical knowledge of GIS data formats, including Shapefiles, GeoJSON, GML, and KML, along with data transformation, validation, and integration workflows.
Have solid experience using QGIS or similar GIS desktop applications and understand how these tools interact with spatial databases and geospatial services.
Demonstrate a strong understanding of spatial reference systems, coordinate reference systems, map projections, and coordinate transformations.
Be familiar with ETL processes for acquiring, processing, and integrating geospatial data from government portals, public agencies, and other external sources.
Have experience integrating spatial data platforms with APIs, web-based mapping and visualization tools, and enterprise applications.
Understand GIS architecture principles, spatial data management, geospatial interoperability, and the design of scalable and maintainable technical solutions.
Possess strong analytical, problem-solving, and troubleshooting skills, with the ability to resolve complex database, data quality, and integration challenges.
Communicate effectively with technical and nontechnical stakeholders, collaborate across multidisciplinary teams, and translate business needs into clear architectural decisions.
Be comfortable working independently, managing competing priorities, and delivering reliable solutions within established project timelines.
Preferred qualifications: Familiarity with GeoServer, MapServer, GDAL/OGR, FME, open-source GIS deployments, and modern geospatial frameworks or libraries.
Cloud experience: Exposure to AWS or GCP-based spatial data storage, cloud-native architectures, and serverless functions is an advantage.
Industry knowledge: Familiarity with regulatory requirements or industry-specific standards for GIS applications in utilities, municipal infrastructure, or related sectors is beneficial.
Be available to work a UK-aligned shift from 2:00 PM to 11:00 PM IST.
Benefits:
Flexible work location: Remote working options within India, with Hyderabad and Vizag also listed as potential locations.
Employment flexibility: Full-time or contract engagement options, depending on the agreed arrangement.
Advanced technical challenges: Opportunity to design and build enterprise GIS systems and sophisticated spatial data platforms.
Specialized technology exposure: Work with PostgreSQL, PostGIS, QGIS, geospatial data formats, APIs, and modern GIS frameworks.
Cloud and open-source opportunities: Potential to work with cloud-native geospatial architectures and open-source GIS technologies.
Professional development: Strengthen expertise in spatial database architecture, GIS integration, geospatial ETL, and enterprise-scale data solutions.
Cross-functional collaboration: Work with technical and business stakeholders on geospatial data management and integration initiatives.
Salary and additional benefits: The available job description does not specify compensation, healthcare coverage, paid leave, bonuses, equipment allowances, or other employment benefits. These details should be confirmed during the recruitment process.
Working schedule: UK-aligned shift from 2:00 PM to 11:00 PM IST.
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