JOB OVERVIEW:

We are seeking a GIS Data Architect/Analyst to support a long-term geospatial data initiative. This role involves advanced data modeling, integration of AI/ML technologies, and optimization of spatial data systems with a strong focus on linear referencing and large-scale data warehousing. Ideal candidates will have both geospatial and data science expertise, and be comfortable working remotely in collaboration with multidisciplinary teams.

DESIRABLE SKILLS (NICE TO HAVE):

• Experience with Safe Software’s Feature Manipulation Engine (FME), including:
• Readers and Writers for cross-platform ETL (Extract, Transform, Load) processes.
• Proficiency in scripting and coding to support ETL automation and data transformations.

QUALIFICATIONS:

• Proven experience in GIS data architecture and analytics.
• Strong background in both geospatial data and modern AI/ML technologies.
• Ability to work independently and collaborate within a remote team structure.

• Design and implement GIS data models tailored for geospatial applications.
• Develop and maintain data warehouses, especially in support of linear referencing systems.
• Apply advanced Linear Referencing Methods to enhance transportation and asset management systems.
• Leverage Artificial Intelligence (AI) tools, including:
• Machine Learning (ML)
• Deep Learning
• Large Language Models (LLMs)
• Generative Pre-training Transformer architectures (e.g., GPT)