Google Cloud Platform Data Architect

Jersey City, NJ, US • Posted 30+ days ago • Updated 30+ days ago

Contract Corp To Corp

Contract W2

Contract Independent

Travel Required

Able to Sponsor

On-site

Depends on Experience

Keylent

Fitment

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Job Details

Skills

GCP Data Architect
ETL

Summary

Google Cloud Platform DATA ENGINEER
Job Summary:
We are seeking a skilled Google Cloud Platform (Google Cloud Platform) Data Engineer to design, build, and optimize data pipelines and analytics solutions in the cloud. The ideal candidate must have hands-on experience with Google Cloud Platform data services, strong ETL/ELT development skills, and a solid understanding of data architecture, data modeling, data warehousing and performance optimization.

Key Responsibilities:
• Develop ETL/ELT processes to extract data from various sources, transform it, and load it into BigQuery or other target systems.
• Build and maintain data models, data warehouses, and data lakes for analytics and reporting.
• Design and implement scalable, secure, and efficient data pipelines on Google Cloud Platform using tools such as Dataflow, Pub/Sub, cloud run, Python and linux scripting.
• Optimize BigQuery queries, manage partitioning and clustering, and handle cost optimization.
• Integrate data from on-premise and cloud systems using Cloud Storage, and APIs.
• Work closely with DevOps teams to automate deployments using Terraform, Cloud Build, or CI/CD pipelines.
• Ensure security and compliance by applying IAM roles, encryption, and network controls.
• Collaborate with data analysts, data scientists, and application teams to deliver high-quality data solutions.
• Implement best practices for data quality, monitoring, and governance.
Required Skills and Experience:
• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Minimum 8 years of experience in data engineering, preferably in a cloud environment.
• Minimum 3 years of hands-on and strong expertise in Google Cloud Platform services:
o BigQuery, Cloud storage, Cloud run, Dataflow, Cloud SQL, AlloyDB, Cloud Balancer, PubSub, IAM, Logging and Monitoring.
• Proficiency in SQL, Python and Linux scripting.
• Prior experience with ETL tools such as Datastage, Informatica, SSIS
• Familiarity with data modeling (star/snowflake) and data warehouse concepts.
• Understanding of CI/CD, version control (Git), and Infrastructure as Code (Terraform).
• Strong problem-solving and analytical mindset.
• Effective communication and collaboration skills.
• Ability to work in an agile and fast-paced environment.
• Google Cloud Platform Professional Data Engineer or Cloud Architect certification is a plus.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10423210A
Position Id: 8849650
Posted 30+ days ago

Company Info

About Keylent

We established Keylent to provide the Key Talent that our clients seek. We are all about People. About Passion. Professional and Process driven.

We have been involved with the industry for over 2 decades and have seen the up's and down's. We have weathered bad times and enjoyed good times by putting our client needs ahead of ours. We continue to do the same thing.

We take great care of our Talent Acquisition and Administrative staff who in turn put in their best work to fulfill our Consultant and Client needs.

Our Clients and our Consultants have a variety of choices and we are thankful that they have chosen Keylent.

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