Jetzt bewerben: Data and AI Architect, Google Cloud bei Google in München

About the job

The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.

As a Data and AI Architect, you will work directly with Google strategic customers on critical projects to help them transform their businesses. You will provide management, consulting, and technical aptitude to customer engagements while working with client executives and key technical leaders to deploy solutions via Google’s Cloud Platform. You will provide directional data strategy across people, processes, and technology.

In this role, you will also work closely with key Google partners currently servicing accounts to manage programs, deliver consulting services, and provide technical guidance and best practice expertise. Travel will be around 30% of 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.

Responsibilities

• Help the customer define their data transformation strategy linked to Google Cloud.
• Drive customers through a review of required data capabilities to define the goal architecture.
• Understand key data services such as BigQuery, Dataflow, Dataplex, etc.
• Leverage Google Cloud/Professional Services Organization (PSO) available solution accelerators and frameworks, while problem-solving and acting as the bridge to product teams and specialists.
• Manage key stakeholders and multiple partners.