Data Analytics Solutions Lead - Cloud Support

Google LLC; Southwestern Ontario; On-site; CAD 174,000 - 178,000; Full time

Job summary

Google Waterloo, ON, Canada is seeking a Technical Solutions Development Manager, Data Analytics for Google Cloud Support. The role leads a team in diagnosing complex customer issues and guiding deployments using Google Cloud technologies, with emphasis on data analytics and distributed systems.

The position requires strong collaboration with product and engineering teams, deep knowledge of data analytics, and the ability to work a non-standard schedule as needed to support 24/7 services.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 13 years of experience troubleshooting and advocating for customers' needs, and triaging technical issues.
• 13 years of experience with 2+ of Web Tech, Data/Big Data, Systems Admin, Machine Learning, Networking, Kubernetes, Oracle, SAP.
• Experience with Linux/Unix or related OS.

Responsibilities

• Lead a team of professionals and set priorities.
• Manage customer issues through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity.
• Understand Google's product technology and architectures by troubleshooting, reproducing, determining the root cause for customer-reported issues, and build tools for faster diagnosis.
• Act as a consultant and subject matter expert for stakeholders in developing, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
• Work as part of a team of developers/consultants that globally ensure 24-hour customer support, which includes sometimes working non-standard work hours or shifts.

Skills

Troubleshooting

Customer advocacy

Web technologies

Data/Big Data

Kubernetes

Linux/Unix

Oracle

SAP

Education

Bachelor's degree

Tools

Kubernetes

Linux

Oracle

SAP

Job description

Google Waterloo, ON, Canada is seeking a Technical Solutions Development Manager, Data Analytics for Google Cloud Support. The role leads a team in diagnosing complex customer issues and guiding deployments using Google Cloud technologies, with emphasis on data analytics and distributed systems.

The position requires strong collaboration with product and engineering teams, deep knowledge of data analytics, and the ability to work a non-standard schedule as needed to support 24/7 services.