GCP Cloud Analytics Engineer

About the role

GCP CLOUD ANALYTICS ENGINEER

Data and Analytics | Data Engineering Same job available in 33 locations

Atlanta, Georgia, United States

Baltimore, Maryland, United States

Boston, Massachusetts, United States

Charlotte, North Carolina, United States

Chicago, Illinois, United States

Cincinnati, Ohio, United States

Cleveland, Ohio, United States

Columbus, Ohio, United States

Costa Mesa, California, United States

Dallas, Texas, United States

Denver, Colorado, United States

Detroit, Michigan, United States

Houston, Texas, United States

Indianapolis, Indiana, United States

Kansas City, Missouri, United States

Los Angeles, California, United States

McLean, Virginia, United States

Miami, Florida, United States

Minneapolis, Minnesota, United States

Morristown, New Jersey, United States

New York, New York, United States

Philadelphia, Pennsylvania, United States

Pittsburgh, Pennsylvania, United States

Rosslyn, Virginia, United States

Sacramento, California, United States

San Diego, California, United States

San Francisco, California, United States

San Jose, California, United States

Seattle, Washington, United States

St. Louis, Missouri, United States

Stamford, Connecticut, United States

Tampa, Florida, United States

Tempe, Arizona, United States

POSITION SUMMARY

Data-driven organizations need modern cloud analytics solutions that turn information into insight and action. As a Sr Consultant, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and business transformation. This role offers the opportunity to work across complex data environments, cloud platforms, and large-scale transformation efforts to deliver measurable outcomes for clients.

Recruiting for this role ends on 12/30/2026.

Work you'll do

As a Sr Consultant, GCP Cloud Analytics on the AI & Data team, you will be responsible for:

* Designing and contributing to end-to-end cloud analytics architectures using Google Cloud Platform services * Supporting full lifecycle implementations across data ingestion, transformation, governance, and analytics enablement * Developing and optimizing cloud-based data solutions using structured and unstructured data sources * Using automation and analytics techniques to help clients improve insight generation, decision-making, and operational efficiency * Leading portions of complex technology engagements and coordinating delivery across teams in multiple locations