А global digital transformation company with a team of more than 4,900 global players in 26 countries – in Europe, America and Asia, working together to put organizations at the forefront of innovation by bringing together talent, knowledge and technology. Our approach is based on conscious technology, through which we create positive environments and meaningful opportunities, always in our own way, making the complex simple. Develop and update a data architecture strategy that adapts to evolving needs and accommodates both Business Intelligence and AI workloads.
- Design and implement architectures for the cloud that are vendor agnostic.
- Design a modern scalable data platform to replace a large legacy data system in a phased approach.
- Align architectural decisions with data governance policies and the department’s vision on Establish and enforce data management policies and processes, including data quality, security and Provide guidance and mentorship to data analysts and data engineers.
- Document and maintain data architecture and data assets in detail.
- Assistance with deployment, configuration and testing of the system.
- Participation in meetings with other project teams. Experience in migrating legacy data systems (SAP DataServices, SAS Data Integration, …) to a modern cloud-based, open-source data platform solution (preferably Data Lakehouse).
- Excellent knowledge of designing scalable and flexible modern cloud-based and open-sources data Experience with AI-powered assistants like Amazon Q for innovative data solutions design.
- Experience with ETL/ELT processes and related data ingestion and transformation tools (like Spark, Proficiency in data pipeline orchestration tools (like Airflow, Dagster, Luigi).
- Knowledge of data governance frameworks and tools (like DataHub, Open Metadata), data quality management, data security, access control and regulatory compliance.
- Experience with DevSecOps practices and tools related to data pipelines, including CI/CD for data Excellent communication skills to articulate data architecture concepts to technical and non-technical If you want to join a dynamic company where technological challenges will be found in your day to day we are waiting for you in the great VASS team. A master’s degree of 5 years in related fields. Transformative, Creative, Honest, Vibrant!