Lead Data Engineer - GCP Architect

Capgemini • Chicago, ND

20h • $144,890 - $190,117 • Hybrid

About The Position

We are seeking a hands-on GCP 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.

Requirements

• 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.

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.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed