Senior GIS Tools Specialist

Our requirements

• 5-6 years' experience in a similar domain, specifically working with large-scale geographic data products,
• Advanced GIS experience, including spatial analysis and data pipeline integration (ArcGIS Desktop/Server preferred),
• Advanced GIS experience with ESRI Enterprise, ArcGIS Desktop/Server, spatial data pipelines, and FME-based solutions,
• Intermediate to Advanced proficiency in Python,
• Intermediate to Advanced proficiency in SQL,
• JavaScript and/or other relevant front-end/tooling languages is required,
• AI Familiarity (intermediate), understanding prompt engineering, Cloud/CLI, proven record of implementing AI solutions. Senior roles require AI, Cloud,
• Working knowledge of modern AI capabilities (e.g., LLM APIs, retrieval-augmented generation, and orchestration frameworks) to identify automation opportunities and evaluate product feature feasibility,
• At least a bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience,
• Exceptional technological savviness and a proven ability to master and integrate new complex technologies rapidly,
• Superior interpersonal and communication skills, with a proven ability to influence technical and non-technical stakeholders up to the executive level,
• Proven ability to thrive in a rapidly-changing, ambiguous, and high-pressure environment, providing expert guidance and technical leadership to peers during production challenges, transitions, and tool deployments,
• Expert-level, structured problem-solving skills, capable of tackling ill-defined technical challenges, paired with meticulous attention to detail in technical design and execution,
• Demonstrated ability to drive initiatives independently (self-starter), serving as a proactive technical leader who mentors others and champions a culture of continuous learning and creative, scalable problem solving,
• Experience with technical platforms such as GitHub and machine learning platforms like Vertex AI,
• ETL & Data Engineering: Hands-on experience building automated spatial pipelines, data validation checks, and handling spatial vector formats (GeoJSON, Shapefiles) is an asset,
• Web Scraping & Data Extraction: Experience with scraping frameworks (e.g., Playwright) to extract, parse, and reconcile external web data is an asset,
• Familiarity with containerization (e.g., Docker) and deploying services on cloud infrastructure is an asset.

Your responsibilities

• Analysis and troubleshooting of software and tool issues: Lead the identification and resolution of intricate, cross-functional issues found within products or tools,
• Be the technical expert: Advise Geo teams and managers, removing technical hurdles and solving major user problems,
• Work with engineering teams: Help define how to report and track bugs, ensuring critical issues are fixed quickly and communicated clearly to leadership,
• Manage tool updates: Plan and coordinate when new tools and updates are released, while checking for potential risks,
• Lead testing: Create testing plans for new features and fixes to make sure they are ready for global use,
• Write code: Regularly write high-quality code for tools and set standards for how others should code,
• Build new tools and integrations: Design and launch new tools and dashboards that help teams work more efficiently, integrating RESTful endpoints, APIs, and protocols (e.g., MCP) to interface with backend services,
• Implement AI solutions: Strategically deploy and integrate AI-based solutions to enhance existing tools and drive new operational efficiencies,
• Solve global tech issues: Provide technical solutions for complex software problems on Linux,
• Manage advanced support: Create and run the process for handling technical bugs and performance issues, making sure to find and fix the root causes,
• Spatial ETL Automation: Design and maintain automated spatial data translation workflows using FME,
• Geospatial Platform Administration: Administer enterprise GIS services, spatial databases, and feature layers across the ArcGIS Enterprise environment to support operational tools,
• Own end-to-end tool lifecycle & delivery: Lead requirements gathering, technical architecture, milestone delivery, and user adoption across operations and engineering teams,
• Architect advanced AI solutions for data operations: Design and deploy multi-agent workflows, RAG systems, and autonomous reconciliation pipelines to automate data ingestion, policy validation, and cross-source anomaly detection,
• Drive observability & Root Cause Analysis (RCA): Lead post-mortems and preventative engineering for critical tool outages, data ingestion failures, and operational SLA/SLO breaches.

About the project

What we offer

• Extensive benefits package: Multisport Card, LuxMed medical healthcare including dental care, life insurance, cafeteria benefits,
• Opportunity to be part of a global organization focused on development,
• Open-minded and multinational environment,
• Training & development opportunities, including language courses,
• Professional development and a clear career path,
• Full equipment and paid training are provided from the first day of work.

Benefits

• sharing the costs of sports activities
• private medical care
• life insurance
• dental care
• cafeteria benefits

COGNIZANT