Minimum qualifications:

• Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
  
• 5 years of customer-facing experience focused on translating customer needs into cloud solutions.
• Experience with SQL scripting, data Modeling, and visualization tools.
• Experience in one or more discipline areas: Generative AI, machine learning, or artificial intelligence.
  

Preferred qualifications:

• Master's degree in Computer Science or an Engineering field, with Certification in SAP or Google Cloud.
  
• Experience with SAP technologies, architecture, and infrastructure needs.
• Experience in GCP and BigQuery.
• Excellent client-facing collaboration skills.

As a SAP Cloud analytics engineer, you will work with Google’s most strategic customers on critical projects to provide management, consulting and technical advisory to customer engagements while working with client executives and key technical leaders to deploy solutions on Google’s Cloud Platform.

You will also work with Google's partners servicing customer accounts to manage projects, deliver consulting services, and provide technical guidance and best practice knowledge. Travel may be required for approximately 25% of the time for client engagements.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

• Propose architectures for SAP products and manage the deployment of cloud based SAP solutions according to customer requirements and implementation best practices.
• Work with customer technical leads, client executives, and partners to manage and deliver implementations of cloud solutions becoming a trusted advisor to decision makers throughout the engagement. 
• Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for positive client outcomes. 
• Advocate for customer needs in order to overcome adoption blockers and drive new feature development.
• Work with internal specialists, product and engineering teams to package best practices and lessons learned into thought leadership, methodologies and published assets.