Mainframe Platform Engineer

Database AdministratorSupport the information needs of the organization through the development and operation of database technology and administration services that ensure data integrity and database availability, reliability and performance across a broad range of databases and applications. Develop, test, implement and maintain database technology components. Provide database support for production and non-production environments, to include back-up and recovery services. Monitor database environments, identify existing or potential performance issues and effectively tune when needed. Support the data at rest needs of the client to ensure data integrity, availability, reliability, and performance across supported databases and mainframe software platforms. Provide ongoing software lifecycle support, governance, compliance of Mainframe IMS and DB2 Databases and Data in Motion software such as MQ, Connect Direct, PowerExchange, InfoGix ACR and Optim MF Data Masking. Provide thought leadership on implementation of standard best practices, automation capabilities, process improvements, risk mitigation, and mentorship to junior team members. Performance tuning and working with our customers to optimize all interactions between our systems and their applications. Responsibilities: Pro-actively monitor the performance of development and production databases to detect existing or potential incidents and/or performance issues. Perform tuning and maintenance to correct and prevent unplanned downtime or performance degradation. Ensure operation of database environments meet or exceed agreed upon service levels (e.g. availability and performance). Plan, schedule and manage the implementation of new databases and modifications to existing databases in a manner that avoids disruption to production and development systems. Set-up and manage database security, manage data purging/archiving activity and other day-to-day database administration activities. Provide ongoing support to operations and support teams as needed. Use database subject matter expertise to investigate and troubleshoot database related issues/incidents. Escalate and manage escalated issues as appropriate. Conduct data analysis involving the design and modification of complex reports, forms and system queries. Apply data analysis and data modeling techniques to establish, modify and maintain complex data structures and their associated components to increase efficiency of structures and components. Provide technical guidance and work direction to less experienced staff. Work closely with customers, application development and other DBA teams to ensure that stringent back-up, recovery and replication strategies are developed, tested, implemented and maintained for development and production database environments. Ensure strategies allow for data recovery in accordance with agreed upon service levels. Continually monitor and make improvements to back-up and recovery mechanisms and processes. Champion consistency across databases by identifying data inconsistencies and working with environment owner(s) to enable data completeness. Monitor assigned data assets to ensure consistent data definitions and standard data naming conventions. Collaborate with other internal teams to champion and uphold governance policies. Required Qualifications: Bachelor’s degree or equivalent in Computer Science, Information Systems or related technical field; or equivalent work experience. 5-7 years of relevant experience required. 5-7+ years of technology experience of increasing scope and responsibility (e.g. software development, database). 5+ years of experience with database design, administration and maintenance in distributed and mainframe environments. 5+ years of experience troubleshooting and resolving database issues, including performance tuning and capacity planning. Proven expertise in database design, to include solid understanding of related programming languages, clustering, back-up/restore technologies, replication and security. Proven understanding of SQL coding required to understand performance implications and translate requirements to application developers.