Cloud Data Migration Architect

Cyclad is an international consulting company specializing in IT/ICT sectors, providing outsourcing services in HR and IT across diverse industries including Banking, Aviation, Travel, Cybersecurity, and BPO.

• Minimum 7+ years of experience in data engineering, cloud architecture, or large-scale data migration projects
• Strong hands-on experience as a GCP Data Architect with a focus on BigQuery migrations
• Deep expertise in Teradata (mandatory) and strong understanding of legacy enterprise data systems
• Proven track record in designing and delivering cloud data migration solutions (Data Lake, Data Warehouse, hybrid architectures)
• Practical experience with Databricks and Google Cloud Dataproc
• Strong proficiency in advanced SQL tuning and performance optimization
• Solid development experience in Python or Java
• Strong understanding of data streaming concepts and distributed data processing
• Excellent knowledge of cloud data architecture principles and best practices
• Ability to work in complex, global environments and coordinate with distributed teams
• Strong communication skills and fluency in English

Nice to have:

• Experience with Oracle/Exadata environments
• Italian language skills

• Lead end-to-end cloud data migration initiatives from legacy data platforms to Google Cloud BigQuery
• Design and implement scalable cloud data architectures supporting enterprise-level workloads
• Define and execute migration strategies for Data Lakes, Data Warehouses, and hybrid data environments
• Work extensively with legacy systems, particularly Teradata, ensuring efficient and secure migration paths
• Support architecture decisions for Oracle/Exadata environments (preferred exposure)
• Collaborate with cross-functional teams to design data pipelines and integration flows using Databricks and Google Cloud Dataproc
• Contribute to data streaming and real-time processing initiatives within large-scale distributed systems
• Optimize SQL performance and ensure high-efficiency query execution across complex workloads
• Develop and support data engineering components using Python or Java
• Ensure best practices in data governance, security, and cloud architecture standards
• Participate in system design discussions, technical reviews, and migration planning workshops