Data Architect

Role & responsibilities

• Define and implement enterprise data architecture standards, frameworks, and best practices.
• Design scalable and secure data models, data warehouses, data lakes, and lakehouse architectures.
• Lead data modernization and cloud migration initiatives.
• Collaborate with business stakeholders, application architects, and technology teams to translate business requirements into technical solutions.
• Develop enterprise-wide data integration, master data management (MDM), metadata management, and governance strategies.
• Establish data quality, security, privacy, and compliance frameworks.
• Design real-time and batch data processing architectures.
• Evaluate and recommend data technologies, platforms, and tools.
• Support AI/ML, analytics, and business intelligence initiatives through robust data architecture design.
• Drive performance optimization and scalability improvements for data platforms.
• Mentor data engineers, data analysts, and technical teams.
• Create architecture documentation, roadmap plans, and technical standards.