• Conduct comprehensive assessments of existing data sources, architectures, data flows, data models and reporting. • Collaborate with business and IT stakeholders to understand current and future data requirements and translate them into robust solutions and design. • Evaluate data quality, consistency, and compliance with governance standards. • Evaluate and recommend data warehouse technologies, tools, and best practices. • Define to be a data warehouse data model as per EDW standards and high level logical and physical data models. • Review data integration, storage, and data retrieval processes for efficiency and cost-effectiveness. • Advise on best practices for cloud migration, data security, and compliance. • Design and present a scalable and high-performance data warehouse architecture to business and IT stakeholders. • Work closely with data analysts, data engineers and IT/business stakeholders to implement, and maintain scalable and high-performance data warehouse solutions.