Senior Data Analytics Cloud Engineer: Agentic AI & Big Data

Google Inc.

New York, Atlanta (NY, GA)

On-site

USD 152,000 - 221,000

Full time

5 days ago
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Job summary

Google Cloud is seeking a Practice Customer Engineer specialized in Agentic Data Cloud to partner with Sales Specialists, accelerate technical wins, and remove architectural blockers for enterprise data and AI workloads.

You will design unified data foundations, prototype production-grade MVPs, and advocate Google Cloud’s data suite including BigQuery and Lakehouse concepts to empower trustworthy AI agents.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience with cloud native architecture in a customer-facing or support role.
  • Experience with Big Data technologies or concepts (ETL, SQL, Spark, data governance).
  • Experience using programming languages (Python, Spark, SQL) to demo or prototype.
  • Experience presenting to technical and executive stakeholders on data cataloging, access controls, and lineage for AI workloads.

Responsibilities

  • Drive the technical win for complex workloads within Data Analytics to ensure rapid adoption during the sales cycle.
  • Combine sales strategies and prototyping to provide customer-tailored solutions that secure buy-in from customer domain experts.
  • Deliver critical feedback to Product and Engineering to improve architectures and document customer feature requests and issues.
  • Help Enterprise customers leverage unified data foundations to power real-time, AI-driven experiences with differentiated solutions.

Skills

Outcomes ownership
Stakeholder influence
Big Data concepts
Python/SQL
Cloud native arch

Education

Bachelor's degree or equivalent

Job description

Google Cloud is seeking a Practice Customer Engineer specialized in Agentic Data Cloud to partner with Sales Specialists, accelerate technical wins, and remove architectural blockers for enterprise data and AI workloads.

You will design unified data foundations, prototype production-grade MVPs, and advocate Google Cloud’s data suite including BigQuery and Lakehouse concepts to empower trustworthy AI agents.

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