Principal Architect - Data Modeling

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.