Solution Architect (Earth Observation)

Overview

CGI globally is a leading ICT company with 94,000 professionals working in 40 countries. We have the presence, expertise and complete IT services to meet clients’ business needs anywhere, anytime and to offer our professionals challenging and rewarding careers.

At CGI, our success comes from the talent and commitment of our professionals. As one team, we share the challenges and rewards that come from growing our company, which reinforces our culture of ownership. All of our professionals benefit from the value we collectively create.

From our office in the town of Frascati (Rome), CGI Italy helps scientists and entrepreneurs in processing Earth Observation data using cutting edge IT technologies to streamline big data analytics.

Thanks to Space application and services we can extract information from satellite data offering solution in several domains including weather, geographical survey bringing value in different sectors like health, transportation, government, agriculture, maritime, oil and gas, trading, finance and insurance.

Earth Observation gives us the possibility to monitor our Planet Earth and to investigate several challenges the humanity is facing like climate change, the Earth’s natural resources and you, can be part of our team as a Solution Architect.

Required Qualifications To Be Successful In This Role

• Minimum 5 years of hands-on professional experience in the Earth Observation domain.
• Deep knowledge of EO source data, data processing techniques, and operational EO applications.
• Familiarity with EO data catalogues and OGC standards
• Proven technical competence in Cloud and Big Data, including parallel and distributed processing.
• Hands-on experience with major Cloud provider.
• Experience with container technologies and container orchestration (Kubernetes).
• Solid understanding of modern software development practices: TDD, CI/CD, code review processes
• Fluent spoken and written English (required for international project collaboration).

Desirable Qualifications

• Degree and/or Master’s in Computer Science, Computer Engineering, Geomatics, or a related discipline.
• Experience with ESA, Copernicus, or other space agency programme frameworks.
• Knowledge of geospatial processing libraries (e.g., GDAL, SNAP, rasterio, xarray).
• Experience with distributed processing frameworks (e.g., Apache Spark, Dask) in an EO context.
• Familiarity with STAC (SpatioTemporal Asset Catalog) and cloud-optimised geospatial formats (e.g., Cloud-Optimised GeoTIFF, Zarr).
• Previous experience in a client-facing technical role or pre-sales support.