Looking for a Data Modeler to design, build, and maintain data models on the Data bricks platform to support data analytics and business intelligence applications. Responsibilities: • Design and implement scalable and efficient data models within the data mesh architecture, considering factors such as domain-driven design, data as a product, and data governance. • Work closely with data architects, data engineers, business users and translate business needs into technical solutions, and communicate data model designs effectively. • Leverage Databricks for data engineering tasks such as data processing, data validation and data orchestration. • Optimize data pipelines and ensure reliable and efficient data processing, high performance, and scalability. • Implement data validation rules and data quality checks to ensure data integrity and consistency. General Requirements: • Bachelor's degree in Computer Science or equivalent experience. • Data Mesh Data Modeler with Databricks Expertise. • Skilled Data Mesh Data Modeler with Data Engineering expertise in Databricks. • Familiarity with Databricks platform, including Spark, Delta Lake, and Unity Catalog. • Lead the design and implementation of data models and data products within the Data Mesh Architecture. • Design, implement and optimize Data Pipelines. • Design, implement and manage the lifecycle of Data Products. • Previous experience in data products modeling within a data mesh architecture. • Strong hands-on expertise in Databricks and Spark. • Proficiency in SQL and Python. • Proficiency in SQL for data manipulation and querying. • Experience with ETL tools and frameworks, and designing data pipelines for data ingestion and transformation. • Problem-solving and troubleshooting skills. • Strong communication skills.