Databricks Data Engineer/Architect

Join our data engineering team as we develop and scale our enterprise data platform. We are building a high-performance ecosystem designed to manage large-scale datasets, ranging from structured to unstructured formats. In this role, you will help modernize our data infrastructure by implementing cutting-edge storage and processing solutions. You will play a key part in designing how we ingest, process, and govern data to provide reliable insights across the organization.

• At least 8 years in Data Engineering, with a minimum of 2 years specifically in Big Data environments.
• 4+ years of hands-on experience with Databricks services, including data pipelines and Unity Catalog.
• Expert-level skills in Python and SQL.
• Strong background in Data Warehousing, ETL, and distributed data processing.
• Deep understanding of Data Lakes, Data Warehouses, and Data Mesh concepts.
• Experience with at least one public cloud (Azure, AWS, or GCP) and strong design skills for both relational and non-relational storage.
• Analytical mindset capable of troubleshooting complex issues in a big data landscape.
• Very good verbal and written English B2/C1.
• Experience working in Agile (Scrum/Kanban) environments.

• Design and maintain robust data pipelines and distributed data processing systems using Databricks.
• Implement and manage data governance and security frameworks via Unity Catalog.
• Develop sophisticated data models (Relational and Non-Relational) to support complex analytical requirements.
• Improve the performance and reliability of Big Data workflows and ETL processes.
• Work within an Agile environment, integrating DevOps and CI/CD principles into the data lifecycle.
• Act as a subject matter expert, guiding the team through complex big data challenges and architectural decisions.