> Markdown version of [/jobs/ext/4711789-technical-architect-java-with-gcp](https://www.wearedevelopers.com/jobs/ext/4711789-technical-architect-java-with-gcp). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Architect(Java with GCP) - **Company:** Tech3pillars Technologies - **Location:** United States (Remote available) - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Airflow, Cloud Computing, Cloud Database, Software Design Patterns, Distributed Data Store, Data Processing, Google Cloud, Apache Spark, Enterprise Integration - **Published:** November 14, 2026 - **Apply:** https://www.careerbuilder.com/job-details/technical-architect-java-with-gcp-ak--9d57f240-e69a-4d4f-802c-e472b1e9a378 ## About the Role GCP (Good Clinical Practices), Java, GCP (Good Clinical Practices), Java, Retail, Technical/Engineering Design, Cloud Computing, Data Processing, Customer Relations, Technical Leadership, Required Skills: GCP, 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 (GCP), 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. ## Description * Define and drive the end-to-end technical architecture for cloud-based data and application solutions on GCP, 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.