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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Google Cloud Platform Architect - **Company:** Quantum Integrators Group LLC - **Location:** Durham, NC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Data Analysis, Big Data, BigQuery, Cloud Computing, Cloud Computing Security, Cloud Engineering, Cloud Storage, Data as a Services, Information Engineering, Data Integration, Data Systems, Data Flow Control, Identity and Access Management, Cloud Services, Cloudera, Enterprise Data Management, Google Cloud, Data Ingestion, Amazon Virtual Private Cloud (VPC), Data Analytics, Data Management, Terraform, Data Pipelines - **Published:** September 18, 2026 - **Apply:** https://www.dice.com/job-detail/390ddd8c-446b-49fe-92b9-7363b96f0287 ## About the Role The ideal candidate should have strong Google Cloud Platform architecture experience, a solid understanding of data engineering platforms, and experience working with Life Sciences data services and solutions, particularly in an R&D environment., * 6 8 years of relevant IT/cloud architecture experience. * Strong hands-on experience with Google Cloud Platform (Google Cloud Platform). * Google Cloud Platform Solution Architect certification is mandatory. * Strong understanding of cloud architecture principles, security, networking, IAM, compute, storage, and managed Google Cloud Platform services * Experience designing enterprise-scale cloud solutions. * Strong understanding of data platforms and data engineering concepts. * Experience with Google Cloud Platform data services such as BigQuery, Cloud Storage, Pub/Sub, Dataflow, Dataproc, or equivalent technologies. * Strong communication and stakeholder-management skills. * Ability to work effectively with distributed technical and business teams., * Experience delivering data services and solutions for R&D organizations. * Experience in the Life Sciences / Pharmaceutical / Biotechnology industry. * Data Engineering experience. * Experience with enterprise data platforms, data pipelines, analytics, and data integration. * Experience with Infrastructure as Code, preferably Terraform. * Knowledge of cloud security, governance, compliance, and enterprise architecture practices. * Experience working with large-scale data and analytics environments. Preferred Technical Skills * Cloud: Google Cloud Platform (Google Cloud Platform), GKE, Compute Engine, Cloud Storage, Cloud Run * Data & Analytics: BigQuery, Dataflow, Dataproc, Pub/Sub, data pipelines, data integration, analytics platforms * Security & Governance: Cloud IAM, VPC, networking, security, governance, compliance ## Description We are looking for an experienced Google Cloud Platform Architect to design and deliver scalable, secure, and reliable cloud solutions on Google Cloud Platform. The candidate will work closely with business, data, engineering, and R&D teams to develop cloud and data solutions supporting Life Sciences business and R&D initiatives., * Design and implement scalable and secure Google Cloud Platform (Google Cloud Platform) architectures. * Develop cloud solution architectures aligned with business, technical, security, and compliance requirements. * Partner with data engineering, application, infrastructure, security, and R&D teams to deliver cloud-based solutions. * Design and implement Google Cloud Platform data and analytics solutions supporting Life Sciences R&D use cases. * Define cloud architecture standards, technology patterns, and best practices. * Provide technical leadership for Google Cloud Platform migration, modernization, integration, and transformation initiatives. * Evaluate Google Cloud Platform services and recommend appropriate solutions based on business and technical requirements. * Design solutions involving data ingestion, processing, storage, analytics, and integration. * Ensure solutions meet enterprise security, scalability, availability, performance, and governance requirements. * Collaborate with stakeholders to translate business requirements into technical architecture and implementation plans. * Provide technical guidance to development and engineering teams throughout the solution lifecycle. * Support architecture reviews, technical assessments, solution documentation, and design governance. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Making Data Warehouses fast. 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