• Develop, maintain, and optimize databases supporting enterprise analytics workloads across cloud and on-premise environments • Implement data storage solutions that align with data modeling and AI integration needs, including relational and non-relational structures • Monitor database performance, execute tuning procedures, and resolve bottlenecks or failures proactively • Design and maintain database schemas, indexes, and partitioning strategies to support query efficiency and AI-driven analytics • Support data access, backup, and recovery strategies in accordance with organizational standards and compliance requirements • Ensure data integrity and security by applying role-based access controls, encryption standards, and audit logging • Collaborate with analytics engineers and platform teams to streamline data ingestion and integration into analytics environments • Participate in capacity planning and forecast database infrastructure needs based on product roadmaps • Document database configurations, operational procedures, and change management logs • Conduct root cause analysis and propose structural changes to improve system reliability • Support release management for changes impacting database environments across staging and production