Job Summary We are seeking an experienced Platform Database Engineer to support and optimize enterprise database environments within a global organization. This role focuses on database performance, security, automation, and reliability while collaborating with cross-functional technical teams. The ideal candidate brings deep database administration expertise, strong problem-solving skills, and a proactive approach to continuous improvement. Duties & Responsibilities • Install, configure, monitor, and maintain database environments to ensure security, availability, and performance • Develop and maintain automation and data processes using SQL, PowerShell, and data integration tools • Implement data access controls and monitoring solutions • Respond to and resolve database alerts, incidents, and service requests • Perform real-time troubleshooting and end-to-end problem resolution • Manage schema changes and scripts through version control systems • Collaborate with architects, analysts, developers, and testers across distributed teams • Provide guidance on best practices, performance tuning, and database design improvements • Maintain documentation, standards, and operational procedures • Own deliverables and ensure timely, accurate completion of assigned work • Support scheduled maintenance, deployments, and rotational off-hours coverage • Identify process improvements and recommend updated standards Qualifications, Skills & Experience • 8+ years of database administration experience supporting enterprise environments • Strong expertise in database backup, recovery, patching, security, and disaster recovery • Advanced proficiency in SQL development and performance tuning • Deep understanding of database architecture, indexing, optimization, and execution planning • Experience supporting transactional and analytical database systems • Hands-on experience with cloud database platforms and multiple database technologies • Strong analytical, organizational, and troubleshooting skills • Experience collaborating with data warehouse and analytics teams preferred