Senior Agentic Data Cloud Engineer — Enterprise AI

Google LLC; Austin (TX); Hybrid; USD 152,000 - 221,000; Full time

Benefits offered by this job

Health, dental, vision, life insurance

Disability insurance

401(k) with company match

Paid time off 20 days/year

Sick time 40 hours/year

Maternity leave 28-30 weeks

Baby Bonding Leave 18 weeks

13 paid holidays

Competitive compensation and equity

Eligibility for remote/hybrid work

Job summary

Google Cloud is seeking an Agentic Data Cloud Customer Engineer to be the premier technical subject matter expert in your territory, partnering with Sales Specialists to execute the pre-sales strategy for customers. You will guide CDOs, CTOs, and lead architects through complex data estates and migrations to GCP.

You will build end-to-end data and AI pipelines, whiteboard lakehouse architectures, and run code demonstrations showing how unified data foundations enable reliable, hallucination-free

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 (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 Total Cost of Ownership (TCO) analyses and optimize architectures (such as balancing DRAM/SSD, compute shapes, and token spend) to prevent runaway costs on the Lightning Engine.

Skills

Data engineering

Pre-sales

Architecture design

Python

PySpark

Distributed data

Data platforms

Demos & workshops

Education

Bachelor's degree or equivalent

Tools

BigQuery

Vertex AI

Apache Iceberg

dbt

Knowledge Catalog

Job description

Google Cloud is seeking an Agentic Data Cloud Customer Engineer to be the premier technical subject matter expert in your territory, partnering with Sales Specialists to execute the pre-sales strategy for customers. You will guide CDOs, CTOs, and lead architects through complex data estates and migrations to GCP.

You will build end-to-end data and AI pipelines, whiteboard lakehouse architectures, and run code demonstrations showing how unified data foundations enable reliable, hallucination-free