Core Responsibilities Design and Implement Data Models: Develop, maintain, and optimize conceptual,logical, and physical data models for OLTP, OLAP, Data Warehouses, and Data Lakes. Multi-Cloud Data Architecture: Design and implement models optimized for AWS,Azure, and GCP ensuring portability and compliance. Data Governance and Standards: Define and enforce modeling standards, namingconventions, and best practices. System Integration: Collaborate with architects and engineers to translate businessrequirements into efficient data structures. Performance Optimization: Analyze and optimize databases and data warehouses forperformance and scalability.Technical Expertise Advanced Data Modeling: Expertise in 3NF, Dimensional Modeling (Star/Snowflake),and Data Vault 2.0. Modeling Tools: Proficient in ER/Studio, Erwin, DBSchema, or Toad Data Modeler. Database Technologies: Strong SQL with PostgreSQL, Oracle, SQL Server, MongoDB,Cassandra. Cloud Data Services: Experience with AWS (Redshift, RDS, DynamoDB), Azure (Synapse,SQL DB, ADLS), GCP (BigQuery, Cloud SQL). Big Data Concepts: Knowledge of Hadoop and Spark for distributed data modeling.Collaboration & Leadership Mentorship: Guide junior data professionals on SQL and cloud practices. Stakeholder Communication: Present complex models to technical and non-technicalteams. Project Leadership: Lead data modeling efforts for transformation projects. Continuous Improvement: Stay updated with data modeling and multi-cloud trends.Mandatory Skills Data modeling create and design scalable models. Strong SQL skills. Building and maintaining data pipelines. Experience with Azure tech stack. Performance optimization in data systems. Worked with multiple databases. Strong communication and collaboration skills.Good to Have Skills Data governance and compliance awareness. Stakeholder management experience. Team handling and mentorship capabilities.