Quick overview
Job description
Job Title: GIS Cloud Data Engineer
Location: Onsite in Spring, TX. (5Days/Week)
Job Summary:
The GIS Cloud Data Engineer is primarily focused on ArcGIS Enterprise administration, SQL geodatabase support, Python-based automation, platform reliability, and enterprise application support. The successful candidate will enhance and support geospatial data management, develop automation solutions using ArcPy, Python, FME, etc., and optimize Azure-hosted GIS infrastructure. Experience with Azure infrastructure, SQL Server/Azure SQL, and Enterprise geospatial data management is strongly preferred.
Primary Job Functions:
- Azure Database Administration
- Administer Azure SQL Enterprise geodatabases
- Monitor database performance and implement optimization strategies
- Partner with larger team on backup, recovery, disaster recovery, etc. processes and recommendations
- Implement database security, access controls, and governance standards
- Configure, publish, and maintain map services, geoprocessing services, feature services, and web applications
- Perform GIS database upgrades, manage schemas, indexing, performance tuning, and health monitoring
- Support integration of GIS services with enterprise applications and other platforms
- Python Development & Automation
- Develop and maintain Python applications, scripts, and automation frameworks using ArcPy and Esri APIs
- Automate GIS data loading, validation, transformation, and publishing workflows
- Create tools for geospatial data quality control and reporting
- Develop integrations between ArcGIS platforms, Azure services, and enterprise systems
- Build reusable automation solutions that reduce manual support activities and improve operational efficiency
- GIS Support
- Provide support for GIS applications, solutions, and databases
- Support ETL processes for geospatial and business data
- Participate in incident management, root cause analysis, and problem resolution
- Collaborate with cloud engineering, cybersecurity, application development, and business teams
- Contribute to technical roadmaps, architecture reviews, and modernization initiatives
Job Requirements:
- 5+ years of experience administering SQL Server and/or Azure SQL environments.
- 5+ years of ArcGIS Enterprise and Enterprise geodatabases/SDE experience
- 3+ years of Python development experience
- Strong understanding of GIS principles, spatial analysis, and geospatial data management
- Experience with ArcPy, ArcGIS REST API, Web Maps, and Feature Services
Preferred Knowledge/Skills/Abilities:
- Github and FME experience
- Familiarity working within the Agile framework
- Experience managing and working in disconnected Azure, Azure Networking, zero trust, Terraform
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