Description

You will design and evolve conceptual, logical, and physical data models while owning the metadata documentation and governance strategy.

This role is on-site.

Responsibilities

• Design and evolve conceptual, logical, and physical data models for enterprise systems.
• Champion data governance standards and maintain comprehensive metadata documentation.
• Create source-to-target mappings to define data transformation logic.
• Collaborate with data stewards, BI developers, and ETL engineers to implement data requirements.
• Partner with DevOps and DataOps teams to integrate data structures into production pipelines.

Required Skills

• 5+ years of professional experience in data modeling.
• Proficiency with ER/Studio for model design and management.
• Hands-on experience with Erwin for logical and physical modeling.
• Practical experience with Databricks for data processing and modeling.
• Experience with Snowflake data warehousing and modeling.
• Knowledge of SAP HANA database structures and modeling.
• Strong understanding of ETL processes and data integration patterns.

Key Skills

Education

Any Graduate