Back to jobsAcademic background in Computer Science, Information Systems, Cloud Computing, Software Engineering, or a related field is considered relevant.
Several years of hands-on experience in data architecture, data platform engineering, or related fields, ideally within tech-driven or industrial environments.
Proficient with tools such as, Snowflake/ Databricks, Dbt, Informatica, Azure, Terraform
Advanced proficiency in Python and SQL.
Strong expertise in data modeling, architecture patterns, and cloud-native data technologies.
Familiarity with Infrastructure as Code (IaC), CI/CD pipelines, and containerization tools such as Docker and Kubernetes.
Strong understanding of modern architectural paradigms like Data Mesh, Data Fabric, and Data as a Product, and the ability to apply them in practice.
Strong communication and stakeholder management skills, with the ability to balance technical depth with strategic vision.
A collaborative mindset and the ability to thrive in a dynamic, fast-paced environment.
