Responsibilities:

· Lead the development of conceptual, logical, and physical data models.

· Implement business and IT data requirements across relational, dimensional, and NoSQL platforms.

· Define and enforce data modelling and design standards, tools, and best practices.

· Oversee the implementation of RDBMS, operational data store (ODS), data marts, and data lakes.

· Identify architecture, infrastructure, and interfaces to data sources, ensuring security and analytic model support.

· Optimize data query performance through best practices. Identifying areas for improvement in current data systems.

· Collaborate with teams, addressing project requirements and reducing delivery risks.

· Support the development of data tools for reporting, visualization, analytics, and machine learning.

· Designing and managing data infrastructure to extract, organize, and store data for authorized users to access.

· Identifying i...