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 involves designing and implementing data models for various enterprise data assets. Key Responsibilities • Design and implement data models using Databricks Data Intelligence Platform • Utilize Erwin Data Modeler or comparable enterprise modeling tools • Develop curated Gold-layer data products for executive reporting and operational analytics • Support AI, GenAI, and machine learning workloads within a Lakehouse environment • Optimize large-scale Delta tables using modern Lakehouse optimization techniques Requirements • 5+ years of enterprise data modeling experience • 3+ years of Databricks Lakehouse modeling experience • Proficiency with Python, PySpark, SQL, and Spark SQL • Knowledge of Delta Lake, Unity Catalog governance, lineage, tagging, and metadata management • Experience with Open Data Formats such as Delta Lake, Apache Iceberg, or Apache Parquet • Understanding of data products and domain-owned data architecture patterns • Familiarity with Data Contracts and schema evolution management • Experience modeling for event-driven, streaming, and near real-time architectures