Data Architect - GCP
Capgemini
Elmhurst, IL, United States
9 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source
Tech stack
Big Data
BigQuery
Code Review
Continuous Integration
Data Architecture
Information Engineering
Extract Transform Load (ETL)
Data Systems
DevOps
Distributed Computing Environment
Distributed Systems
Data Flow Control
+12 more
Python (Programming Language)
Cloud Services
Software Deployment
Data Streaming
Data Processing
Google Cloud
Cloud Platform System
Build Management
Infrastructure Automation Frameworks
Real Time Data
Data Management
Data Pipelines
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., * 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.
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.
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