GCP Data Architect

Quick Facts

• Role: GCP Data Architect (Senior)

• Focus: Cloud data architecture, pipelines, and AI/ML on Google Cloud Platform (GCP)

• Collaboration: Business stakeholders, product owners, and engineering teams

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, while continuously improving architecture strategies with ongoing awareness of GCP innovations. Serve as a bridge between business and technology through strong stakeholder communication.

Responsibilities

• Design and implement scalable, high-performance data pipelines and AI/ML solutions on GCP

• Support both real-time and batch data processing

• Ensure security, reliability, performance optimization, and cost efficiency

• Stay current with GCP innovations and industry trends to improve architecture

Requirements

• 2+ years of experience as a Data Architect working with GCP services and managing cloud budgets

• Strong understanding of data modeling, data warehousing, and structured/unstructured data (ideally including semantic modeling)

• C1-level English proficiency to communicate effectively 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, and Sports card; access to Capgemini Helpline and a wellbeing podcast on Spotify

• Training opportunities via NEXT (e.g., GenAI, Excel, Business Analysis, Project Management)

• Access to learning platforms and content (Education First languages platform, Pluralsight, TED Talks, Coursera, Udemy Business)

• Continuous feedback and performance discussions via GetSuccess tool

• Hybrid working model with home office package after onboarding (laptop, monitor, chair)