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Data Architect - GCP
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Posted on: Oct 11, 2026
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Chicago, Illinois
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Onsite
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Full-time
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Job Title :
Data Architect - GCP
Job Type :
Full-Time
Job Location :
Chicago Illinois United States
Remote :
No
Job Description :
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 ResponsibilitiesDesign 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 Experience7+ years of experience in Data Engineering, Data Architecture, or Cloud Data Platform development.Strong hands-on experience with: BigQuery, Dataflow, Pub/Sub, PythonExperience designing and implementing data solutions on Google Cloud Platform (GCP).Strong understanding of:Distributed systemsData pipeline architectureBatch and streaming processing patternsLarge-scale data processing and analyticsExperience developing and supporting production-grade data pipelines.Ability to balance architectural strategy with hands-on implementation.Strong communication and stakeholder management skills.
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Position Details
Posted:
Oct 11, 2026
Reference Number:
10440_4466117512
Employment:
Full-time
City:
Chicago
Job Origin:
APPCAST_CPC
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