Agentic Data Cloud Engineer - Enterprise AI Pipelines

Google LLC; New York (NY); On-site; USD 152,000 - 221,000; Full time

Job summary

Google Cloud is seeking an Agentic Data Cloud Customer Engineer in the United States. You will partner with Sales Specialists to execute pre-sales strategies, serving as the trusted technical advisor to CIOs, CTOs, and lead architects.

You will map complex data estates for migration to GCP and design end-to-end data/AI pipelines. You will demonstrate modern lakehouse architectures, run code demos, and optimize architectures to ensure cost efficiency while delivering business value through

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of experience as a data or systems engineer, solutions architect, or pre-sales consultant.
• 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.
• Experience with data programming languages and leveraging agentic platforms.

Responsibilities

• Define technical strategy for large accounts, engaging C-level executives via live demonstrations to solve business problems using the Agentic Data Cloud.
• Design, code, and deploy production-grade Data and AI pipelines and map legacy data estates to open-format architectures (Iceberg).
• Orchestrate Intent-Driven data engineering to deploy PySpark/dbt pipelines.
• Lead showcases and value validations using BigQuery, Lakehouse tools, Knowledge Catalog, Spark, and Vertex AI to prove outcomes.
• Conduct Total Cost of Ownership analyses and optimize architectures to prevent runaway costs.

Skills

Python

PySpark

Distributed data systems

Data platforms

Data lakes

Education

Bachelor's degree or equivalent practical experience

Tools

BigQuery

Apache Iceberg

dbt

Knowledge Catalog

Vertex AI

Job description

Google Cloud is seeking an Agentic Data Cloud Customer Engineer in the United States. You will partner with Sales Specialists to execute pre-sales strategies, serving as the trusted technical advisor to CIOs, CTOs, and lead architects.

You will map complex data estates for migration to GCP and design end-to-end data/AI pipelines. You will demonstrate modern lakehouse architectures, run code demos, and optimize architectures to ensure cost efficiency while delivering business value through