Geospatial Data Architect - Earth Observation & Climate Services
Role details
Job location
Tech stack
Job description
- Capacity building around identifying and addressing data and climate needs.
- Integration of EO data into policymaking and policy monitoring.
- Integration of EO data into AI, digital twins and similar decision-supporting tools.
- Support the broad uptake of project results (making sure that what is developed in the projects will be used by external stakeholders and be built on for future applications and/or will reach the market).
About the Role
The successful candidate would be passionate about, and committed to, supporting climate change mitigation and adaptation efforts, as well as using geoinformation as an effective tool to tackle its effects. You will be involved in supporting the delivery of the current projects and the further development of the team and would have the ambition to learn, grow, and develop within and with the team.
More specifically, you will be involved in projects involving expanding some of the team's work to Southeast Asia-notably the Philippines-and would be expected to have experience working independently and being a good (remote) team member. You will support and guide the technical architecture for complex Earth Observation and data systems, guiding external partners on the implementation. This will also include expanding Climate KIC's portfolio into more technical and data-driven applications.
Key Working Relationships
The successful candidate will work with the rest of CKIC's Earth Observation and Climate Services team to deliver on projects and contribute to achieving the team's objectives within the Climate Neutral and Resilient Regions cluster. Furthermore, the candidate will collaborate closely with the Digital Enabling team, external technical partners (particularly for initiatives in Southeast Asia, including the Philippines), and institutional clients to guide technical implementation of a data lakehouse and geospatial AI services, and to ensure quality delivery., * Advise and guide the AI-ready data architecture and geospatial AI service definition for institutional clients, who will be doing the data-space-development in-house.
- Guide and execute needs and gap assessment among all the relevant stakeholders, providers and users on data needs.
- Design and define the overall system architecture and technology approach based on client requirements and constraints, including the harmonisation of heterogeneous data.
- Create detailed technical specifications for external partners that clearly define what to build and quality standards.
- Review partner deliverables to ensure they meet specifications and align with project goals.
- Identify technical risks early and make trade-off recommendations between scope, budget and timeline.
- Support the development of guidelines for data governance and the ethical use of AI services, and where appropriate conduct capacity development activities for the successful uptake of services.
Others
- Support the delivery of existing projects by writing deliverables, executing tasks, participating in project meetings both online and in-person, including proposing and creating content and managing your own workload.
- Represent the team and the organisation in online and in-person meetings.
- Support the team's business development through, e.g. proposal writing.
- Support the identification, definition and development of new services and products.
Requirements
Do you have experience in SharePoint?, Do you have a Master's degree?, * More than five years of experience working with data and geospatial analysis, ideally in climate, environmental, or sustainability-focused projects.
- Experience in designing technical solutions for government or institutional clients and understanding their constraints and decision-making processes.
- Experience managing external teams or contractors and coordinating complex technical work.
- Deep understanding of data architecture
- Practical geospatial data engineering experience across the full stack: working with satellite imagery and geospatial data formats (GeoTIFF, COG, NetCDF), spatial databases like PostGIS, building data pipelines, and deploying solutions with cloud platforms (AWS/Azure, Docker). Experience with APIs (REST, OGC standards) and version control/CI-CD practices is valuable.
- Strong background in data science and GIS, with hands-on experience managing, analysing, and visualising spatial data (ArcGIS or QGIS).
- Skilled in Python, translating complex datasets into insights that support climate action and systems innovation.
- Experience designing and managing data workflows and pipelines, from service definition to delivery.
- Good understanding of Earth Observation (EO) data-its sources, formats, and applications-and the ability to assess technical input in light of climate resilience needs.
- Confident communicator who can lead collaborative projects, work across teams, and engage diverse (including non-technical) partners in international and cross-cultural settings.
- Experience documenting workflows and supporting others in the use of GIS, data, and AI tools.
- Comfortable with digital collaboration platforms such as Office365, Teams, SharePoint, Salesforce, Miro, and Canva.
Who You Are
- Deeply motivated by climate impact and the transition to resilient, sustainable regions.
- Passionate about the role of geospatial data in this transition.
- Curious, proactive, and solution-oriented, with a learning mindset and enthusiasm for innovation.
- Able to work independently and remotely, managing time and priorities effectively while staying connected to a distributed team.
- A strategic and systems-thinker: able to connect technical components and see their value in broader concepts and solutions.
- Comfortable with ambiguity and incomplete information early in projects; able to ask hard questions and explore options.
- Exceptionally able to explain complex technical concepts to non-technical audiences (this communication skill is as critical as technical expertise).
- A collaborative team player who values openness, trust, and co-creation.
- Fluent in English, with excellent communication skills.
- Availability and willingness to travel (approximately 6-8 times per year, including outside Europe).
- Interest in AI/ML applications for geospatial data, and familiarity with climate services, Copernicus data, or systems thinking approaches.
- Experience with EU-funded projects or international collaboration, especially in Southeast Asia or the Philippines, is a strong plus.
- Proficiency in additional European language(s) or Filipino are an advantage.
Benefits & conditions
Salary: Each capability level has a country-specific salary range. Our goal is to provide fair and consistent compensation for all employees, with most salaries falling between 80% and 120% of the midpoint of the range outlined at the end of this job posting.