Database managers serve as an essential part of the management of large databases. They typically manage many projects and help with the design and physical implementation of storage hardware and maintenance. Database managers specialize in the diagnosis and repair of problems that occur in databases. They may work with various types of databases that use software such as MySQL and Oracle.
The allocation of resources is important as a database manager because there can potentially be shifts and moves of large chunks of data to different storage platforms and software systems. Since data managers manage fragile and sensitive data, it is important that they maintain high ethical standards and conduct themselves professionally. Database managers often work in a standard office environment during regular business hours. Because maintaining a database is a continuous job, database managers may be on call in the event of an emergency or loss of service.
Database managers work with the technical staff that is directly responsible with keeping the database up and running; they also interact with users that use software programs to store data in the databases. Database managers must be willing to lead and direct individuals with specific work tasks and provide guidance and training to lower-level staff.
Prospective database managers typically need a bachelor’s degree in information technology and a minimum of five years in a database leadership position. Along with this educational background, individuals must possess knowledge of different database software.
Database Manager Tasks
- Participate in the design, maintenance, enhancement, coding, and administration of relational databases.
- Participate in continuous improvement efforts in enhancing performance and providing increased functionality.
- Review business requests for data and data usage, researches data sources for new and better data feeds.
- Coordinate new data development ensuring consistency and integration with existing data warehouse structure.
- Analyze and determine information needs and elements, data relationships and attributes, data flow and storage requirements, and data output and reporting capabilities.