Demo

GCP Data Engineer/Architect

ASB Resources
Princeton, NJ Contractor
POSTED ON 4/8/2026
AVAILABLE BEFORE 5/7/2026

Summary:

Looking for an experienced Senior Google Cloud Data Engineer passionate about leveraging next generation applications / technologies to push the industry forward. You are a Big Data Specialist. You are an expert in BigQuery and the Google analytics stack. You have built Data warehouse, data lakes , lake house , Delta lakes. You will be responsible for overseeing full application stacks, from the operating system through COTs applications, using Terraform to maintain infrastructure as code in Google cloud-based computing environments. You will modernize the Data analytics platform using Google. You are a dynamic leader with a proven track record of managing applications, improving upon and modernizing technology stacks, and making decisions that satisfy and deliver on stakeholder requirements.


Essential Duties and Responsibilities


1.

Own the technology stack in the Google Cloud Platform and help drive the technical direction for our systems, technologies, and architecture.

2.

Design architect Data analytics solutions using Google.

3.

Utilize terraform to securely deploy and manage infrastructure as code.

4

Be comfortable working cross-functionally with developers, cloud platform engineers, the business, and Cloud Service Provider on architecture design requirements for cloud application services.

5.

Participate in and support application security reviews and threat modeling, including code review and dynamic testing.

6.

Provide feedback to Application Portfolio Managers and Architects to help refine service design and security standards.



Qualifications

Required Education:

Bachelor’s Degree or 4 years equivalent professional experience

Preferred Education:

N/A


Required Experience:

Minimum 2 years of hands-on experience with Cloud using Google Cloud Platform (GCP)

Self-starter with an in-depth hands-on work experience with multiple large-scale implementations of applications in Google Cloud Platform

Expert in Data lake, lakehouse, Delta lake design and implementation.

Expert in ETLs around Data using google platform

Knowledge of leveraging terraform to manage infrastructure as code

Knowledge of and experience migrating, refactoring, and re-engineering complex enterprise applications from legacy platforms to cloud

Strong understanding and experience with common security libraries, security controls, and common security flaws.

Knowledge of and experience designing and managing Cloud controls

Knowledge of Python, R.

Handled and designed solutions around structured and unstructured data.

Familiar with AI/ML concepts and platform offerings.

Broad IT security experience and API security knowledge


Excellent and professional communication skills (written and verbal) with an ability to articulate complex topics in a clear and concise manner.


Preferred Experience:

Knowledge and usage of the GCP platform is essential


Experience designing and implementing secure and scalable Cloud Data analytics application architecture (GCP specific)


Knowledge of and experience in designing and using application patterns to drive cloud migration


Experience in designing and implementing scalable, distributed systems leveraging cloud computing technologies


Knowledge of cloud architecture standards and framework in alignment with enterprise architecture standards


Proficiency with Infrastructure as Code (IaC) (Terraform, ARM templates)


Ability to work independently, manage small engagements or parts of large engagements.


Required License/Registration/Certification:

N/A

Preferred License/Registration/Certification:

GCP Certification at Data or Architecture Levels


Computer Skills Required:

Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).


Strong problem solving and troubleshooting skills with the ability to exercise mature judgment

Hourly Wage Estimation for GCP Data Engineer/Architect in Princeton, NJ
$50.00 to $68.00
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