GCP Data Engineering Architect: Cloud Data Solutions Lead

Robotic Technologies Automation; Bentonville (AR); On-site; USD 94,000 - 134,000; Full time

Job summary

Robotic Technologies Automation seeks an experienced GCP Data Engineering Technical Architect to lead the architecture and design of scalable cloud-based data solutions in the Retail domain. The role demands hands-on mastery of GCP, Spark, Airflow, and Java, with proven ability to drive architecture decisions and mentor engineers.

You will collaborate with product teams and customers, ensuring secure, scalable and maintainable implementations, while guiding both onsite and offshore teams through

Qualifications

• Experience designing enterprise-scale data processing and integration solutions.
• Strong hands-on expertise in GCP, Spark, Airflow and Java.
• Ability to lead architecture discussions with customers and product teams.

Responsibilities

• Define end-to-end technical architecture for cloud-based data solutions on GCP, Spark, Airflow and Java.
• Define architecture standards, design patterns, integration approaches, security considerations, and best practices.
• Review solution designs and code for scalability, performance, reliability, and security.
• Lead technical discussions with customers, product teams, engineering teams and other stakeholders.
• Provide technical direction and mentorship to onsite and offshore engineering teams.
• Troubleshoot complex technical issues across distributed data-processing environments.
• Support design reviews, estimation, technical planning, deployment readiness, and production implementation.

Skills

Leadership

Architectural design

Client communication

Tools

GCP

Spark

Airflow

Java

Job description

Robotic Technologies Automation seeks an experienced GCP Data Engineering Technical Architect to lead the architecture and design of scalable cloud-based data solutions in the Retail domain. The role demands hands-on mastery of GCP, Spark, Airflow, and Java, with proven ability to drive architecture decisions and mentor engineers.

You will collaborate with product teams and customers, ensuring secure, scalable and maintainable implementations, while guiding both onsite and offshore teams through