Jobs → Data & Analytics → Databricks Data Modeler

About the Role We are seeking a Databricks Data Modeler to join our team, focusing on Lakehouse and enterprise data products. This role requires expertise in designing and implementing data models for various data layers and architectures. Key Responsibilities • Design and implement enterprise data models using Databricks Data Intelligence Platform • Develop curated Gold-layer data products for executive reporting and operational analytics • Model for event-driven, streaming, and near real-time architectures • Support AI, GenAI, and machine learning workloads within a Lakehouse environment • Optimize large-scale Delta tables using Liquid Clustering and DBX Unity Catalog Predictive Optimization Requirements • 5+ years of enterprise data modeling experience • 3+ years of Databricks Lakehouse modeling experience • Proficiency with Erwin Data Modeler or comparable enterprise modeling tools • Strong knowledge of SQL, Spark SQL, Python, and PySpark • Experience with Delta Lake, Unity Catalog governance, lineage, tagging, and metadata management • Familiarity with Open Data Formats such as Delta Lake, Apache Iceberg, or Apache Parquet • Understanding of Data Contracts and schema evolution management • Knowledge of data products and domain-owned data architecture patterns