GIS Data Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GIS Data Architect with a 4-year remote contract based in Louisiana, offering expertise in GIS data modeling, spatial analysis, and AI tools. Key skills include ETL processes, scripting, and experience with Esri ArcGIS and Tableau.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 23, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Remote
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Louisiana, United States
🧠 - Skills detailed
#Consul #Documentation #Data Modeling #"ETL (Extract #Transform #Load)" #Scripting #Data Extraction #AI (Artificial Intelligence) #Visualization #Data Management #Deep Learning #ML (Machine Learning) #Data Architecture #Tableau #Spatial Data
Role description

Job Title: GIS Data Architect/Analyst

Work Location: Domiciled in Louisiana

Duration : 4 years

Mode of Work: Remote

Key Responsibilities:

   • Data extraction, transformation, loading, validation, and modeling.

   • Building and maintaining GIS applications using scripting, geoprocessing, and other relevant tools.

   • Configuring, integrating, and optimizing GIS software and hardware.

   • Conducting spatial analysis and generating reports to support decision-making.

   • Providing technical assistance and training to client staff.

   • LaDOTD has invested in a suite of GIS technologies, including but not limited to:

   • Esri ArcGIS Suite: For enterprise GIS capabilities.

   • Feature Manipulation Engine (FME): For data transformation and integration.

   • VertiGIS Studio and Inline: For web map development.

   • Tableau: For data insights, visualization, and analysis.

   • PMGs HPMS/SLD Manager: For highway performance management system data and straight-line diagramming.

   • Deliverables

   • Consultant will deliver well-documented, efficient, and sustainable GIS solutions. Knowledge transfer through training and documentation is essential to ensure long-term success.

   • The goal is to enhance LaDOTD's data management and analysis capabilities, improve decision-making, and meet federal reporting requirements through the effective development and utilization of an Enterprise GIS system.

Mandatory Expertise/Experience:

GIS Data Modeling

For Geospatial Data Warehousing

Linear Referencing Systems

Linear Referencing Methods

Artificial Intelligence tools

Machine Learning

Deep Learning

Large Language Models

Generative Pre-training Transformer (GPT)

Desirable Expertise/Experience:

Feature Manipulation Engine (FME)

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

Cross-platform data formats

Scripting and Coding for ETL processes