Drimva

Google

Agentic Data Cloud Customer Engineer III, Telco, Media, Entertainment and Gaming, Google Cloud

New York, NY, USA +8 · Full-time · Posted Oct 20, 2026

Location
New York, NY, USA
Atlanta, GA, USA
Austin, TX, USA
Cambridge, MA, USA
Chicago, IL, USA
Kirkland, WA, USA
Mountain View, CA, USA
Reston, VA, USA
Sunnyvale, CA, USA
Experience
10 years as a data or systems engineer, solutions architect, or pre-sales consultant.
Education
Bachelor's degree or equivalent practical experience.

About the job

Leads technical pre-sales for Google Cloud’s Agentic Data Cloud, advising enterprise customers and designing and demonstrating data and AI architectures, migrations, and production pipelines.

What you'll do

  • Define technical strategy for large accounts and demonstrate solutions to business leaders.
  • Design, code, and deploy data and AI pipelines; map legacy data estates to open-format architectures.
  • Run technical validations and TCO analyses, and optimize architectures for cost.

What they ask for

  • 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 architecture overviews to business leaders; migrating, refactoring, or debugging workloads; and building data platforms, warehouses, or lakes.
  • Experience with data programming languages and leveraging agentic platforms.

Nice to have

  • Experience designing enterprise RAG pipelines, LLM integrations, or context orchestration frameworks.
  • Experience in developer advocacy, data science workflows, value-selling, or enterprise data/AI governance.

Pay

$152000 - $221000 USD (base salary)

Tools

Python, PySpark, dbt, Data Agent Kit, Antigravity, Model Context Protocol, BigQuery, Apache Iceberg

AI focus

Designs and deploys production data and AI pipelines, including RAG and LLM-related architectures; demonstrates conversational AI and agentic data engineering.

Model-written summary · the original posting is authoritative

First seen Oct 21, 2026 · Last verified Nov 5, 2026 (UTC)