Agentic Data Cloud Engineer - Enterprise Data & AI Architect

Google; Los Angeles (CA); On-site; USD 152,000 - 221,000; Full time

Job summary

Google Cloud is seeking an Agentic Data Cloud Customer Engineer to partner with sales, map complex data estates, and migrate to Google Cloud Platform. You will design and deploy end-to-end data + AI pipelines, demonstrate with live demos, and lead technical validations for CDOs, CTOs, and developers.

You will work across BigQuery, Vertex AI, and modern lakehouse architectures, optimizing performance and cost. Excellent Python/PySpark skills and enterprise data experience are essential.

Qualifications

• Experience delivering demos, workshops, or architect overviews to business leaders.
• Experience migrating, refactoring, or debugging proprietary or open source workloads.
• Experience building data platforms, warehouses, or data lakes, and experience with data programming languages and leveraging agentic platforms.

Responsibilities

• Define technical strategy for large accounts and engage executives with live demonstrations.
• Design, code, and deploy production-grade data + AI pipelines and map legacy data estates.
• Orchestrate data engineering to deploy PySpark/dbt pipelines using agent kit and model context protocol.
• Lead showcases and value validations using BigQuery, Lakehouse, Spark, and Vertex AI.
• Conduct detailed TCO analyses to optimize architectures and control costs.

Skills

Ten years experience

Demo delivery

Migration/refactor/debug workloads

Data platforms/warehouses/lakes

Data programming languages & agentic平台

Education

Bachelor's degree or equivalent practical experience

Tools

Python

PySpark

dbt

Apache Iceberg

BigQuery

Spark

Vertex AI

Job description

Google Cloud is seeking an Agentic Data Cloud Customer Engineer to partner with sales, map complex data estates, and migrate to Google Cloud Platform. You will design and deploy end-to-end data + AI pipelines, demonstrate with live demos, and lead technical validations for CDOs, CTOs, and developers.

You will work across BigQuery, Vertex AI, and modern lakehouse architectures, optimizing performance and cost. Excellent Python/PySpark skills and enterprise data experience are essential.