• Own the health, performance, and availability of Air's PostgreSQL Aurora infrastructure. • Proactively optimize database parameters, indexes, and query patterns to maintain sub-100ms p95 response times. • Uplevel migration practices and tooling to ensure zero-downtime schema changes as the platform scales. • Establish and maintain comprehensive backup, recovery, and disaster recovery procedures with documented RTO/RPO targets. • Partner with backend engineers to implement database best practices in application code (connection pooling, query optimization, caching strategies). • Develop multi-quarter roadmap to scale Air's database infrastructure to support 10x growth in asset volume and user activity. • Collaborate with backend engineers and product leadership to model data growth patterns and anticipate scaling inflection points. • Evaluate and implement horizontal scaling strategies (read replicas, sharding, partitioning) aligned with business needs. • Continuously assess AWS Aurora capabilities, PostgreSQL ecosystem innovations, and emerging database technologies for strategic advantage. • Design and implement database architecture that supports Air's AI-powered features and real-time creative workflows. • Create comprehensive monitoring, alerting, and reporting systems to maintain database reliability and inform data-driven infrastructure decisions. • Implement detailed instrumentation for database performance metrics (query latency, connection pool utilization, replication lag, disk I/O). • Build automated alerting for anomalies in query performance, connection patterns, and resource utilization. • Create executive-level dashboards showing database health trends, capacity utilization, and cost efficiency. • Develop regular database health review cadence with engineering leadership to surface insights and drive continuous improvement.