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Data Architect - GCP

  • Data Architect - GCP job type Posted on: Oct 11, 2026
  • Data Architect - GCP experience level Capgemini
  • Data Architect - GCP employment type Chicago, Illinois
  • Data Architect - GCP employment type Onsite
  • Data Architect - GCP salary Full-time

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Job Title :

Data Architect - GCP

Job Type :

Full-Time

Job Location :

Chicago Illinois United States

Remote :

No

Jobcon Logo 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.

Jobcon Logo Position Details

Posted:

Oct 11, 2026

Reference Number:

10440_4466117512

Employment:

Full-time

City:

Chicago

Job Origin:

APPCAST_CPC

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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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