GCP Data Architect

Quick Facts

Role focuses on designing scalable data pipelines and AI/ML solutions on GCP, bridging business and engineering stakeholders.

Description

Design and implement scalable, high-performance data pipelines and AI/ML solutions using GCP-native tools for both real-time and batch processing. Ensure solutions are secure, reliable, and optimized for performance and cost efficiency. Stay current with GCP innovations and industry trends to continuously improve architecture strategies.

Responsibilities

• Collaborate with business stakeholders, product owners, and engineering teams
• Design and implement data pipelines and AI/ML solutions on GCP
• Support both real-time and batch data processing
• Ensure security, reliability, and performance/cost optimization
• Continuously improve architecture by monitoring GCP innovations and industry trends

Requirements

• 2+ years of proven experience as a Data Architect working with GCP services and managing cloud budgets
• Strong understanding of data modeling, data warehousing, and structured/unstructured data; semantic modeling experience preferred
• C1-level English proficiency and effective communication with business and technical stakeholders
• GCP Architecture Certification
• Ability to write non-trivial Python code and SQL scripts

Benefits

• Well-being culture: medical care (Medicover), private life insurance, Sports card, and Capgemini Helpline support
• Training access: 70+ training tracks with certification opportunities via NEXT, plus Education First languages, Pluralsight, TED Talks, Coursera, and Udemy Business materials
• Continuous feedback through performance management tool (GetSuccess)
• Hybrid working model after onboarding, with a home office package (laptop, monitor, chair)