Find Jobs
Find Jobs Near You – Available Work in Your Location
Skip to job details
D
Deloitte
GCP Cloud Analytics Engineer
Career Insights for Cloud Architect
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on Michigan data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
A Cloud Architect designs a business' cloud computing strategy. Oversees application architecture and deployment in cloud environments. Integrates cloud applications with other applications. Acts as an advisor to the business on ongoing cloud management strategies.
$117,587 / year median in Michigan
+11% projected growth
Job Description
GCP Cloud Analytics Engineer Data-driven organizations need modern cloud analytics solutions that turn information into insight and action. As a Data Engineer II, 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 09/10/2026. Work you'll do As an Engineer on the 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 A successful candidate would possess these skills: Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and sustain professional relationships Ability to lead projects or workstreams Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment Strong interpersonal skills and professional demeanor Ability to meet deadlines Ability to provide clear guidance to others The Team AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.