Summary:

Join our team as a GIS Data Architect/Analyst to design and optimize geospatial data systems supporting advanced analytics and data warehousing. You’ll apply expertise in GIS data modeling, Linear Referencing Systems, and AI tools such as machine learning, deep learning, and large language models like GPT. Your role will focus on enabling scalable, intelligent solutions through robust geospatial data architecture. Experience with FME for ETL processes and proficiency in scripting for data transformation is an asset. Ideal for professionals who blend deep technical knowledge with innovation to elevate geospatial capabilities in a dynamic, hybrid work environment.

Expertise and/or relevant experience in the following areas are mandatory:

• GIS data modeling

o For Geospatial Data Warehousing

o Linear Referencing Systems

• Linear Referencing Methods

o Artificial Intelligence tools

• Machine Learning
• Deep Learning

o Large Language Models

• Generative Pre-training Transformer

Expertise and/or relevant experience in the following areas are desirable but not mandatory:

• Feature Manipulation Engine (FME)

o Readers and Writers for Extracting, Transforming and Loading (ETL) of data

 Cross platform data formats

• Scripting and Coding for ETL processes