Data Engineer

\nCandidate should have strong understanding of Medallion Architecture in Databricks. " Design and maintain conceptual, logical, and physical data models " Ability to handle large-scale, enterprise-wide domains (cross-functional data) " Define and enforce data modeling standards, naming conventions, and governance practices " Align models with enterprise data architecture and business strategy " Translate business requirements into structured data models " Ensure models support data integration, consistency, and reusability " Embed data quality rules, lineage, and metadata management into designs " Hands-on experience with tools like ERwin, ER/Studio, or similar " Strong understanding of modern data platforms (Databricks, Snowflake, cloud DWs) and how modeling fits into them " Knowledge of dimensional modeling (Kimball) and/or Data Vault\n