Senior GCP Data Architect & Lead Data Engineer

Capgemini; Chicago (IL); Hybrid; USD 144,890 - 190,117; Full time

Job summary

Capgemini is seeking a hands-on Lead Data Engineer - GCP Data Architect in a hybrid Chicago-based role. You will design scalable data platforms on Google Cloud, architect batch and streaming pipelines, and guide technical direction while delivering concrete implementations.

The role emphasizes BigQuery, Dataflow, Pub/Sub, and Python, with a strong focus on distributed systems and data pipeline architecture to support enterprise-scale analytics.

Qualifications

• 7+ years of experience in Data Engineering, Data Architecture, or Cloud Data Platform development.
• Hands-on experience with BigQuery, Dataflow, Pub/Sub, and Python on Google Cloud Platform.
• Strong understanding of distributed systems and data pipeline architectures.
• Experience designing batch and streaming data processing patterns and production-grade pipelines.
• Ability to balance architectural strategy with hands-on implementation and strong communication.

Responsibilities

• Design and architect scalable, secure 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 distributed processing and data movement patterns for varying needs.
• Develop and optimize enterprise-scale ETL/ELT pipelines.
• Collaborate with data engineers, developers, platform teams, and stakeholders.
• Provide architectural guidance for data modeling, storage, governance, and performance.
• Support cloud-native deployment patterns using Cloud Run and/or GKE.
• Contribute to infrastructure automation, DevOps, and CI/CD best practices.
• Participate in architecture reviews, design sessions, and code reviews.
• Troubleshoot and optimize data processing workloads and platform performance.

Skills

BigQuery

Dataflow

Pub/Sub

Python

GCP

Distributed systems

Data pipeline architecture

Job description

Capgemini is seeking a hands-on Lead Data Engineer - GCP Data Architect in a hybrid Chicago-based role. You will design scalable data platforms on Google Cloud, architect batch and streaming pipelines, and guide technical direction while delivering concrete implementations.

The role emphasizes BigQuery, Dataflow, Pub/Sub, and Python, with a strong focus on distributed systems and data pipeline architecture to support enterprise-scale analytics.