We are seeking a Database Engineer to design, implement, and maintain database systems that support Payments, Investor Services, Trade, Pricing & Billing, and Liquidity Management applications. The role focuses on ensuring database performance, scalability, reliability, and data integrity while supporting operational and client-facing workflows. Key Responsibilities Design, implement, and maintain relational and NoSQL databases for financial services applications. Optimize database performance, indexing, and query execution. Ensure data integrity, security, backup, and recovery processes. Collaborate with backend, cloud, and platform teams to integrate databases with applications and middleware. Troubleshoot, debug, and resolve database-related issues. Maintain database documentation, schema changes, and version control. Participate in Agile development processes, sprint planning, and database design discussions. Mentor junior database engineers and provide guidance on complex database architectures (senior-level). Experience & Qualifications Mid-Level (4–7 years of relevant experience): Hands-on experience with relational databases (e.g., MySQL, PostgreSQL, Oracle) and/or NoSQL databases (e.g., MongoDB, Cassandra). Knowledge of Payments, Investor Services, Trade, Pricing & Billing, or Liquidity Management processes. Ability to independently manage database deployments, optimization, and troubleshooting. Experience with database scripting, query optimization, and performance tuning. Contributes to database documentation, automation, and best practices. Senior-Level (7+ years of relevant experience): Deep expertise in database design, architecture, performance tuning, and high-availability solutions. Broad knowledge across financial services domains (Payments, Trade, Investor Services, etc.). Experience leading database initiatives, migration projects, and mentoring teams. Acts as escalation point for complex database issues and drives enterprise-level improvements. Proven ability to design scalable, secure, and highly available data solutions. #J-18808-Ljbffr