全职 Solution Architect 工作, 薪水, Cognizant 公司招聘中 - Ricebowl

We are seeking a highly skilled Principal Architect with experience in GIS Data Modelling Opensource GIS Architecture and ESRI GIS Architecture. The ideal candidate will play a crucial role in designing and implementing GIS solutions that align with our company's goals. This hybrid role offers the flexibility of day shifts and does not require travel.

Responsibilities

• Lead the design, development, and implementation of complex technology solutions, including but not limited to:
  • GIS Solution, Spatial data modelling and analysis, Geospatial data integration and management and Location-based services (LBS)
  • Cloud-native applications and microservices architectures
  • Data warehousing and business intelligence solutions, Remote sensing and image processing and Geospatial data visualization and reporting
  • Cybersecurity and data privacy solutions
• Design and implement comprehensive GIS solutions using the ArcGIS suite of products and ArcGIS development Technologies
• Collaborate with business stakeholders to understand their requirements and translate them into technical specifications
• Conduct feasibility studies and proof-of-concept projects to evaluate new technologies and solutions.
• Develop and maintain technical documentation, including architecture diagrams, design documents, and implementation plans.
• Ensure adherence to industry best practices for data quality, accuracy, and security in development and GIS environments.

Qualifications

• Strong experience as a Solution Architect and GIS Architect.
• Extensive experience with ArcGIS and the ArcGIS suite of products, and expertise in one or more GIS platforms (e.g., QGIS, GeoServer).
• Strong expertise in cloud platforms, particularly Azure and AWS
• Proficiency in Microsoft development technologies (e.g., .NET, C#, ASP.NET), web development (HTML, CSS, JavaScript, Angular, React), and mobile development (iOS, Android).
• Strong understanding of GIS principles, geospatial data formats (e.g., Shapefile, GeoJSON, GeoTIFF), database technologies (relational and NoSQL), and data warehousing principles.
• Experience with Agile development methodologies, web mapping frameworks (e.g., Leaflet, Mapbox GL JS), geospatial data science, machine learning techniques, remote sensing, and image processing software.
• Excellent problem-solving, communication, presentation, and interpersonal skills, with the ability to work independently and as part of a team, and relevant industry certifications (e.g., Esri Certified Professional).

Certifications Required

Certified GIS Professional (GISP) ESRI Technical Certification