Accountabilities

• Provide strategic architectural leadership for Databricks adoption and enterprise-wide data modernization initiatives.
• Define scalable, secure, and future-ready data and analytics architectures aligned with business, AI, and technology objectives.
• Establish architectural frameworks, standards, design patterns, governance models, and best practices for Databricks implementation.
• Guide Data Engineering teams on solution architecture, scalability, performance optimization, security, governance, and implementation decisions.