Cloud Technical Solutions Engineer, Data Analytics
Description For Cloud Technical Solutions Engineer, Data Analytics
Google Cloud is seeking a Cloud Technical Solutions Engineer specializing in Data Analytics to support customers transitioning to Google Cloud. This role involves troubleshooting technical issues, advocating for customer needs, and working with various teams to improve Google Cloud products. The ideal candidate will have experience in data analytics, distributed databases, and open-source technologies. They will provide 24-hour customer support as part of a global team, manage customer issues, and act as a subject matter expert for internal stakeholders. This position requires strong technical skills, excellent communication, and the ability to work in a fast-paced environment. The role may involve shift work or non-standard hours, including weekends. Google Cloud is committed to accelerating digital transformation across industries, leveraging cutting-edge technology to solve critical business problems for customers worldwide.
Responsibilities For Cloud Technical Solutions Engineer, Data Analytics
- Manage customer issues through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity for customer issues on Google Cloud Platform products
- Understand Google's product technology and architectures by troubleshooting, reproducing, determining the root cause for customer reported issues, and building tools for faster diagnosis
- Act as a consultant and subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud
- Work as part of a team of engineers/consultants that globally ensure 24-hour customer support
- Understand customer issues and advocate for their needs with cross-functional teams, including product and engineering teams to find ways to improve the product and drive quality production
Requirements For Cloud Technical Solutions Engineer, Data Analytics
- Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience
- 2 years of experience reading or debugging code in one or more of the following (e.g., Java, C, C++, .NET, Python, Shell, Perl, JavaScript)
- 2 years of experience in technical support, professional services, software development, or product operations management
- Experience in advocating for customer needs
