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

Cloud Hybrid Technologies, LLC; Atlanta (GA); On-site; Full time

Job summary

A tech solutions provider in Atlanta is seeking a seasoned Google Cloud Platform Data Engineer to design and optimize data pipelines in cloud environments. Candidates should have extensive experience with Google Cloud data services like BigQuery and Dataflow, alongside strong skills in SQL and Python. This role requires collaboration with various teams to implement data solutions effectively, ensuring quality and compliance. The position offers flexibility but requires local applicants for face-to-face interviews.

Qualifications

• Minimum 8 years of experience in data engineering, preferably in a cloud environment.
• Minimum 3 years of strong expertise in Google Cloud Platform services.
• Proficiency in SQL, Python, and Linux scripting.

Responsibilities

• Develop ETL/ELT processes for data extraction and loading into BigQuery.
• Build and maintain data models and data lakes for analytics.
• Design scalable data pipelines on Google Cloud Platform.

Skills

BigQuery

ETL/ELT

SQL

Python

Linux scripting

Dataflow

Pub/Sub

Cloud Run

Terraform

CI/CD

Education

Bachelor's degree in Computer Science or related field

Tools

Datastage

Informatica

SSIS

Git

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 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, Pub/Sub, 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.

Cloud Hybrid 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. Cloud Hybrid 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 Cloud Hybrid 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.