Data Engineer

Candidate 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