GIS Lead/Engineer/ Lead

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GIS Lead/Engineer based in Austin, TX, on a contract basis. Requires a degree in Geography or related field, 10+ years GIS experience, and proficiency in Esri ArcGIS. Strong governance and data management skills are essential.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 26, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Austin, TX
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🧠 - Skills detailed
#Cloud #Quality Assurance #Metadata #Data Management #Computer Science #Datasets #Data Quality #Data Architecture #Database Management #Spatial Data
Role description
GIS Lead/Engineer/ Lead Location: Austin, TX Job type: Contract Interview Type– virtual or/and in person Work Arrangement- 5 days onsite Must Have Skills: GIS Analyst, GIS engineer, GIS Lead Skills Required: Bachelor’s or master’s degree in Geography, GIS, Computer Science, Public Health, or related field. (ignore Required Years) 10 + years of professional experience in GIS, with at least 5 years in a lead or architect role in cloud architecture, preferably in health, human services, or government sectors Expert-level proficiency in Esri ArcGIS (including ArcGIS Pro Advanced database management and network analyst toolboxes), including data management, geocoding, spatial analysis, and web mapping application development. Demonstrated experience in geospatial governance, including policy development, stakeholder engagement, and decision-making frameworks. Develop and maintain geospatial data architectures, workflows, and metadata standards to support enterprise mapping and analytics needs. Coordinate and collaborate with internal teams, external partners, and stakeholders to gather requirements, define governance frameworks, and ensure effective data sharing and integration. Oversee the creation and management of GIS datasets, including demographic, socioeconomic, health, and program data, ensuring accuracy and completeness Strong knowledge of data management principles, metadata standards, and data quality assurance.