Data Modeler

Job description

**Key Skills:** AWS, Azure Databricks, SQL, Data modeling, Snowflake, Data Modelling, Data Model, Data Governance, Python, Metadata **Roles and Responsibilities:** - Design and maintain conceptual, logical, and physical data models for enterprise analytics, reporting, and AI/ML workloads. - Develop dimensional, relational, and hybrid models (e.g., star, snowflake, and data vault where applicable) aligned to BI consumption patterns. - Optimize data models for Snowflake performance, scalability, and cost efficiency. - Collaborate with data engineering teams to implement models in Databricks (Spark) environments and ensure correct source-to-target mappings. - Support AI/ML and GenAI feature and data model readiness, including lineage, traceability, and reuse of data assets. **Skills Required:** - 5 - 10 years of experience in data modeling, data architecture, or analytics engineering. - Data modeling concepts (conceptual, logical, physical) and strong expertise in data model design. - SQL proficiency for building and validating data models and transformations. - Hands-on experience with Snowflake data modeling and performance optimization. - Cloud data architecture experience on Azure and/or AWS, including Azure Databricks and analytics workloads. Good to Have: - Data governance experience, including metadata and lineage standards. - Python familiarity for data modeling and validation workflows. **Education:** Degree in Computer Science, Engineering, or a related field.