Google Cloud Platform Data Engineering Technical Architect/Lead

• Define and drive the end-to-end technical architecture for cloud-based data and application solutions on Google Cloud Platform, Spark, Airflow, Java.
• Define architecture standards, design patterns, integration approaches, security considerations, and engineering best practices.
• Review solution designs and code to ensure scalability, performance, reliability, maintainability, 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 and performance issues across distributed data-processing environments.
• Support design reviews, estimation, technical planning, deployment readiness, and production implementation.

Core Skills: Google Cloud Platform, Spark, Airflow, Java , Exposure to ML is preferred, Experienced Technical Architect based in the USA to lead the architecture and technical design of scalable, cloud-based data solutions within the Retail domain.

The ideal candidate will have strong hands-on expertise in Google Cloud Platform (Google Cloud Platform), Spark, Airflow, and Java, along with proven experience in designing enterprise-scale data processing and integration solutions.

The role requires a combination of solution architecture, technical leadership, hands-on engineering expertise, and client-facing communication skills.