Qualifications :
- 15+ years of experience with deep expertise in data architecture principles, data modeling, data integration, data governance, and data management technologies.
- Proven experience in defining data strategies and developing logical and physical data models for RDBMS, NoSQL, and cloud-native databases.
- Expertise in one or more RDBMS platforms (Oracle, DB2, SQL Server, etc.) and experience implementing multiple data models with strong data security and access controls.
- Demonstrated ability to lead large, complex teams successfully.
Key Responsibilities :
Analyze and understand business requirements; translate them into conceptual, logical, and physical data models.Serve as a principal advisor on data architecture, covering areas such as data requirements, aggregation, data lakes, data models, and data warehouses.Lead cross-functional teams in defining data strategies and leverage cutting-edge technologies for effective data management.Establish and enforce data architecture principles, standards, and best practices to ensure consistency, scalability, and security across data assets and projects.Recommend and define the best data modeling approaches tailored to client requirements and target architectures.Skills Required
Data Modeling, Cloud Architecture, Sql Database, Big Data, Data Warehousing