Design and maintain conceptual logical and physical data models to support business applications and normalized and denormalized data models for OLTP and OLAP closely with business stakeholders to understand data requirements and translate them into effective data data integrity consistency and governance across data modeling tools (MagicDraw SQL Data Modeler etc.) to document and visualize data and enforce naming conventions data standards and best practices in data with data engineers and DBAs to optimize database performance and storage in ETL/ELT pipeline design ensuring seamless data flow across data profiling and analysis to identify relationships dependencies and updated with emerging trends in data modeling data governance and cloud-based data platforms.