Sr. Google Cloud Platform Data engineer /Google Cloud Platform Architect

Quantum Technologies. LLC; Atlanta, Northern (GA, KY); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Quantum Technologies LLC in Atlanta, GA seeks a senior Google Cloud Platform Data Engineer/Architect to design, build, and optimize data pipelines and analytics in the cloud. The role focuses on hands-on GCP data services, ETL/ELT development, data modeling, warehousing, and performance optimization.

The ideal candidate has 8+ years in data engineering, strong SQL/Python skills, and experience with Datastage/Informatica/SSIS. Onsite, 24-month+

Qualifications

• Bachelor's degree or higher in a related field.
• Minimum 8 years of data engineering experience, preferably in cloud environments.
• Hands-on experience with Google Cloud Platform services: BigQuery, Cloud Storage, Cloud Run, Dataflow, PubSub, IAM, Logging & Monitoring.

Responsibilities

• Develop ETL/ELT pipelines to extract data from multiple sources and load into BigQuery or target systems.
• Build and maintain data models, data warehouses, and data lakes for analytics and reporting.
• Design and optimize scalable, secure data pipelines on Google Cloud Platform using Dataflow, Pub/Sub, Cloud Run, Python, and Linux scripting.
• Collaborate with DevOps to automate deployments using Terraform and CI/CD pipelines.
• Ensure data security, IAM controls, encryption, and governance across environments.

Skills

BigQuery

Dataflow

Pub/Sub

Cloud Run

SQL

Python

Linux scripting

Data modeling

Data warehousing

ETL tools

Terraform

CI/CD

Git

IAM

Education

Bachelor's degree in Computer Science or related field

Tools

Datastage

Informatica

SSIS

Job description

Location:

Atlanta, GA

Duration:

24Months+ Extension

Hourly Rate:

Depending on Experience (DOE)

Work Authorization:

Sr. Google Cloud Platform Data engineer /Google Cloud Platform Architect - Atlanta GA-onsite only locals and F2F interview must- with experience in BigQuery, Dataflow, Pub/Sub, Cloud Run), 8+ years Data Engineering, ETL/ELT, SQL, Python, Linux scripting, data modeling/warehousing, ETL tools (Datastage/Informatica/SSIS), CI/CD, Git, Terraform.

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:

• 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.

QUANTUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. QUANTUM TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will QUANTUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract