Databricks Data Modeler
Rachel WilliamUnited StatesMIDPosted 4d ago
DatabricksLakehouse ArchitectureData ModelingDelta LakeUnity CatalogData GovernanceMetadata ManagementPythonPySparkSQLSpark SQLErwin Data ModelerApache IcebergApache ParquetOpen Data FormatsEvent-drivenStreamingData ContractsSchema EvolutionData LineageAIGenAIMachine LearningLiquid ClusteringPredictive OptimizationData Product Architecture
About the Role
We are looking for a Databricks Data Modeler to join our team. This role focuses on designing and implementing scalable data models using Databricks Data Intelligence Platform and Lakehouse Architecture.
Key Responsibilities
• Design and implement enterprise data models (Conceptual, Logical & Physical)
• Develop Bronze, Silver & Gold data layers
• Utilize Delta Lake, Unity Catalog, Data Governance & Metadata Management
• Create scalable analytical data models for BI, Reporting & AI/ML workloads
• Develop reusable enterprise data products and domain-oriented data models
Requirements
• 5+ years of experience in Data Modeling
• 3+ years of experience with Databricks Data Intelligence Platform
• Strong experience with Databricks Lakehouse Architecture
• Expertise in enterprise data modeling
• Hands-on experience with Bronze, Silver & Gold data layers
• Strong knowledge of Delta Lake, Unity Catalog, Data Governance & Metadata Management
• Proficiency in Python, PySpark, SQL & Spark SQL
• Experience with Erwin Data Modeler or similar enterprise modeling tools
Preferred Skills
• Apache Iceberg, Apache Parquet & Open Data Formats
• Event-driven, streaming & near real-time data architectures
• Data Contracts, Schema Evolution & Data Lineage
• AI/GenAI and Machine Learning workloads
• Liquid Clustering & Unity Catalog Predictive Optimization
• Strong understanding of Data Governance and Data Product Architecture