Data Cloud Customer Engineer II — Enterprise AI Pipelines

Google

Chicago (IL)

On-site

USD 127,000 - 184,000

Full time

12 days ago
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Job summary

Google is seeking an Agentic Data Cloud Customer Engineer II to partner with sales and act as a trusted technical advisor for CDOs, CTOs, and developers. You will lead discoveries to map complex data estates and qualify them for migration to Google Cloud, delivering end-to-end Data + AI pipelines and demonstrations.

You will design, code, and deploy scalable pipelines, showcasing open lakehouse architectures and cost-optimized solutions while translating technical excellence into business impact.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 6 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, and 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 + AI pipelines and map legacy data estates to modern architectures.
  • Orchestrate data engineering to autonomously deploy PySpark/dbt pipelines using the Data Agent Kit and related frameworks.
  • Lead showcases and technical value validations using BigQuery and Vertex AI to prove business outcomes.
  • Conduct TCO analyses and optimize architectures to prevent runaway costs.

Skills

Demos and workshops
English fluency
Stakeholder communication

Education

Bachelor's degree or equivalent

Tools

Python
PySpark
dbt
BigQuery
Apache Iceberg
Vertex AI

Job description

Google is seeking an Agentic Data Cloud Customer Engineer II to partner with sales and act as a trusted technical advisor for CDOs, CTOs, and developers. You will lead discoveries to map complex data estates and qualify them for migration to Google Cloud, delivering end-to-end Data + AI pipelines and demonstrations.

You will design, code, and deploy scalable pipelines, showcasing open lakehouse architectures and cost-optimized solutions while translating technical excellence into business impact.

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