Agentic Data Cloud Customer Engineer, Startups, Google Cloud

Job description

info_outline About the job As an Agentic Data Cloud Customer Engineer, you will be the premier technical subject matter expert in your territory. You will partner with sales specialists to execute the technical pre-sales strategy for customers, serving as the trusted technical advisor to Chief Data Officers (CDOs), Chief Digital Officers (CTOs), lead architects, and developers. You will lead proactive discoveries to map complex, legacy customer data estates and qualify them for migration to Google Cloud Platform (GCP).

You are a builder and architect that designs, codes, and deploys production-grade, end-to-end data + AI pipelines that solve real-world enterprise problems. You will whiteboard modern open lakehouse architectures and run code demonstrations showing how unified data foundations power deterministic, hallucination-free conversational AI. Leveraging a background in value-selling, you will conduct a detailed Total Cost of Ownership (TCO) analyses and optimize architectures to prevent runaway spend.

You will help customers adopt modern data engineering practices that securely unify data, analytics, and AI. With your deep expertise in Python, PySpark, and distributed data systems, you will translate technical excellence into business-transforming migrations, and will grow in this highly technical role. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US

$152000 - $221000 (USD) + 42.86% bonus target + equity + benefits Learn more about benefits at Google .