Data Architecture Design - Design, develop and implement data architectures that align with business needs and growth plans. Define data models, schemas and structures for different types of data Data Integration - Work closely with data engineers to ensure smooth data integration from various sources. Design and implement ETL (Extract, Transform and Loan) processes. Database Management - Optimize and manage databases for performance, scalability, and reliability. Data Governance - Establish data governance frameworks, data quality standards, and data lifecycle management processes. Ensure compliance with data privacy regulations and security practices. Collaboration - Collaborate with cross-functional teams including data scientists, analysts, software developers, and business stakeholders to understand data requirements and provide suitable solutions. Documentation - Document data architecture designs, data flows, and technical specifications. Create and maintain documentation to aid in knowledge sharing and future reference. Performance Optimization - Monitor and analyze data system performance. Identify bottlenecks and areas for improvement, and implement solutions to enhance data processing speed and efficiency.