Senior Data Cloud Engineer for Enterprise AI

Google; Chicago (IL); On-site; USD 152,000 - 221,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Vacation days

Sick leave

Maternity leave

Baby bonding leave

Paid holidays

Job summary

Google Cloud is hiring an Agentic Data Cloud Customer Engineer for multiple U.S. locations, including Chicago, Austin, and Cambridge. You will partner with Sales to execute technical pre-sales, lead discoveries, and map complex data estates for migration to GCP.

You will design, code, and deploy end-to-end data and AI pipelines. The role requires deep Python, PySpark, and distributed data systems expertise and the ability to translate technical excellence into business outcomes.

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 building data platforms, warehouses, or data lakes.
• Experience migrating, refactoring, or debugging proprietary or open source workloads.

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 (e.g., fraud detection, recommendation engines) and map legacy data estates to open-format architectures (Apache Iceberg).
• Orchestrate Intent-Driven data engineering to autonomously deploy PySpark/dbt pipelines using the Data Agent Kit, Antigravity, and Model Context Protocol.
• Lead high-impact showcases and technical value validations using BigQuery, Borderless Lakehouse, Knowledge Catalog, Spark, and Vertex AI to prove business outcomes.
• Conduct detailed TCO analyses and optimize architectures (such as balancing DRAM/SSD, compute shapes, and token spend) to prevent runaway costs on the Lightning Engine.

Skills

Python

PySpark

Distributed data systems

Data pipelines

Business storytelling

Education

Bachelor's degree or equivalent

Tools

BigQuery

Spark

Vertex AI

Apache Iceberg

Knowledge Catalog

Job description

Google Cloud is hiring an Agentic Data Cloud Customer Engineer for multiple U.S. locations, including Chicago, Austin, and Cambridge. You will partner with Sales to execute technical pre-sales, lead discoveries, and map complex data estates for migration to GCP.

You will design, code, and deploy end-to-end data and AI pipelines. The role requires deep Python, PySpark, and distributed data systems expertise and the ability to translate technical excellence into business outcomes.