GCP Data Architect

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’r a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. You will be: designing and developing a modern data platform based on Google Cloud technologies, designing data and application architectures, modelling data flows, creating architectural documentation, and supporting key technology decisions across the platform, defining end-to-end data processing solutions, selecting appropriate GCP services, designing integrations, supporting Disaster Recovery and data-retention mechanisms, enabling CI/CD and Infrastructure as Code practices, facilitating architecture workshops with technical and business stakeholders. Your profile: proven experience in designing data architectures on Google Cloud Platform, experience designing end-to-end data ingestion and processing solutions, knowledge of BigQuery and either DBT or Dataproc, experience with data modelling and data-flow design, understanding of Medallion and Hub & Spoke architecture patterns, experience selecting and integrating GCP services such as Dataproc, Pub/Sub, Cloud Storage, BigQuery and Composer, experience designing synchronous and asynchronous integrations and event-driven architectures, knowledge of data-retention, purging and Disaster Recovery concepts, experience with GitHub Enterprise Cloud, CI/CD and Terraform, ability to create HLD, LLD, ADR documentation and architectural diagrams, strong communication skills with the ability to present, justify and defend architectural decisions, experience conducting workshops and collaborating with business and technical stakeholders. Nice to have: experience with enterprise-scale cloud data platforms, experience working in highly regulated environments, familiarity with cloud governance, security and operational best practices. Work from the European Union region and a work permit are required. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision