• Design, operate, and optimize global, multi-region database architectures across AWS and Azure. • Architect and manage relational, NoSQL, and document databases including Snowflake, PostgreSQL, DynamoDB, DocumentDB, Cosmos DB, and MongoDB. • Lead hands-on database migrations across cloud platforms (AWS ↔ Azure), legacy systems, and global regions. • Define and implement indexing strategies, query optimization techniques, and scaling patterns for large datasets and real-time workloads. • Tune databases for high availability, low latency, and cost efficiency at enterprise scale. • Support and optimize data ingestion and pipeline workflows built with AWS Glue, Step Functions, Lambda, ECS, and Azure Data Factory. • Partner with Data Engineering teams on streaming and CDC patterns using Kafka, Kinesis, or AWS DMS. • Develop and maintain secure API-based integrations and database connectivity patterns. • Implement database security best practices including IAM, secrets management, SSO, encryption at rest and in transit, and access controls. • Define and maintain backup and disaster recovery strategies including RTO/RPO planning and point-in-time recovery (PITR). • Implement robust observability for database systems using CloudWatch, Azure Monitor, Datadog, or similar tools. • Partner with Engineering, Analytics, Product, DevOps, and Security teams to deliver reliable, scalable data solutions. • Communicate complex database and architectural concepts clearly to both technical and non-technical stakeholders. • Influence engineering standards and best practices through technical leadership and collaboration. • Mentor engineers through design reviews, code reviews, and hands-on guidance.