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Capgemini
Data Architect - GCP
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Job Description
Data Architect - GCP at Capgemini Data Architect - GCP at Capgemini in Franklin Park, Illinois Posted in 9 days ago.
Type:
full-time We are seeking a hands-on GCP Data Architect to design and build scalable, cloud-native data solutions on Google Cloud Platform. This role requires strong expertise in BigQuery, Dataflow, Pub/Sub, and Python , along with a solid understanding of distributed systems, batch and streaming data architectures, and modern data engineering practices. The ideal candidate is both an architect and a doer, capable of guiding technical direction while actively contributing to implementation and delivery. Key Responsibilities Design and architect scalable, secure, and cost-effective data platforms on Google Cloud Platform. Lead the development of batch and real-time data ingestion and processing solutions. Design modern data architectures leveraging BigQuery, Dataflow, Pub/Sub, and related GCP services. Evaluate and implement appropriate distributed processing and data movement patterns for varying business requirements. Develop and optimize enterprise-scale ETL/ELT pipelines. Collaborate with data engineers, application developers, platform teams, and business stakeholders. Provide architectural guidance for data modeling, storage, governance, performance, and scalability. Support cloud-native application deployment patterns using Cloud Run and/or GKE. Contribute to infrastructure automation, DevOps, and CI/CD best practices. Participate in architecture reviews, technical design sessions, and code reviews. Troubleshoot and optimize data processing workloads and platform performance. Required Experience 7+ years of experience in Data Engineering, Data Architecture, or Cloud Data Platform development.
Strong hands-on experience with:
BigQuery, Dataflow, Pub/Sub, Python Experience designing and implementing data solutions on Google Cloud Platform (GCP) .
Strong understanding of:
Distributed systems Data pipeline architecture Batch and streaming processing patterns Large-scale data processing and analytics Experience developing and supporting production-grade data pipelines. Ability to balance architectural strategy with hands-on implementation. Strong communication and stakeholder management skills.