Negotiable
Undetermined
Remote
Remote or New Jersey
Summary: The Senior Architect for Geospatial Solutions will leverage over 12 years of IT experience, focusing on geospatial solution architecture. This role requires strong expertise in GIS platforms and cloud technologies, along with proven skills in route optimization and spatial data modeling. The position emphasizes leadership and communication to guide technical teams and engage stakeholders effectively.
Key Responsibilities:
- Design and implement geospatial solutions leveraging GIS platforms.
- Optimize routes using advanced algorithms and spatial data modeling.
- Utilize cloud platforms for geospatial workloads.
- Visualize data and manage spatial databases and APIs.
- Lead technical teams and communicate with stakeholders.
- Apply machine learning models for predictive route optimization.
- Develop microservices architecture and CI/CD pipelines for applications.
Key Skills:
- 12+ years of IT experience, with at least 6+ years in geospatial solution architecture.
- Strong expertise in GIS platforms (e.g., ESRI ArcGIS, QGIS, Mapbox, Google Maps APIs).
- Proven experience in route optimization algorithms, spatial data modeling, and mapping services.
- Hands-on knowledge of cloud platforms (AWS, Azure, Google Cloud Platform) for geospatial workloads.
- Experience with data visualization, spatial databases (PostGIS, Oracle Spatial), and APIs.
- Excellent communication and leadership skills to guide technical teams and engage stakeholders.
- Familiarity with machine learning models for predictive route optimization.
- Exposure to microservices architecture and CI/CD pipelines for geospatial applications.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Position: Senior Architect Geospatial Solutions
Location: Remote
Required Skills & Experience
- 12+ years of IT experience, with at least 6+ years in geospatial solution architecture.
- Strong expertise in GIS platforms (e.g., ESRI ArcGIS, QGIS, Mapbox, Google Maps APIs).
- Proven experience in route optimization algorithms, spatial data modeling, and mapping services.
- Hands on knowledge of cloud platforms (AWS, Azure, Google Cloud Platform) for geospatial workloads.
- Experience with data visualization, spatial databases (PostGIS, Oracle Spatial), and APIs.
- Excellent communication and leadership skills to guide technical teams and engage stakeholders.
- Familiarity with machine learning models for predictive route optimization.
- Exposure to microservices architecture and CI/CD pipelines for geospatial applications.