Define and own the enterprise data architecture: conceptual, logical, and physical data models, standards, and reference patterns.
Design and optimize relational database solutions on Oracle, MySQL, and AWS RDS (including Aurora) for performance, scalability, and cost.
Lead database migration and modernization initiatives — on-premises to cloud (lift-and-shift and re-platforming), version upgrades, and heterogeneous migrations between engines.
Establish data governance, security, and compliance controls: access management, encryption, masking, retention, and auditability.
Define high-availability, backup/restore, and disaster-recovery strategies (replication, read replicas, Multi-AZ, failover).
Drive performance tuning — query optimization, indexing strategy, partitioning, capacity planning, and cost optimization in AWS.
Set standards for data integration / ETL / ELT and collaborate with engineering, analytics, and application teams.
Provide architectural governance: design reviews, documentation, and technical mentorship to developers and DBAs.
