• Define and maintain enterprise data architecture, including data models, pipelines, and storage solutions.

• Design scalable data warehouses, data lakes, and cloud-based solutions.

• Establish frameworks for integrating structured and unstructured data sources.

• Ensure alignment of data architecture with business and IT strategies.

• Lead the development of ETL/ELT processes for data ingestion and transformation.

• Implement APIs and microservices for data access and integration.

• Optimize database performance and ensure high availability.

• Support advanced analytics, AI/ML, and reporting platforms with robust data pipelines.

• Define and enforce data standards, policies, and best practices.

• Implement data quality frameworks and monitoring systems.

• Collaborate with security teams to safeguard sensitive information.

• Partner with business stakeholders to translate requirements into technical solutions.

• Mentor data engineers and analysts, fostering a culture of innovation and excellence.

• Stay updated on emerging technologies.