Database Administrator

Story Behind the Need

• Business group: GTS – Technology Operations & Engineering
• Project: Database Administration Support

Candidate Value Proposition:

• The successful candidate will have the opportunity for growth while working with a supportive team.

Typical Day in Role:

• Monitor the system, and act upon system and application automated alerts
• Perform diagnostics, testing, and troubleshooting of software, o/s, and database issues (ex. correcting installation, configuration, or data problems)
• Plan and perform software installation, configuration, upgrade and patching
• Plan and perform database configuration, maintenance, upgrade and patching
• Perform and manage system and database backups
• Perform manual switch to redundant system / database components, in case of system failure
• Provide on-site database and system support
• Monitor, collect statistical information, and provide reporting on capacity and system performance
• Based on statistics, make recommendations to maintain and improve capacity and system performance
• Monitor the system, and act upon system and application automated alerts
• Perform diagnostics, testing, and troubleshooting of software, o/s, and database issues (ex. correcting installation, configuration, or data problems)
• Plan and perform software installation, configuration, upgrade and patching
• Plan and perform database configuration, maintenance, upgrade and patching
• Perform and manage system and database backups
• Perform manual switch to redundant system / database components, in case of system failure

Candidate Requirements/Must Have Skills:

• 8+ years Database Administration experience with MSSQL (combined experience with the following 2022/2019/2017/2016/2014/2012)
• 8+ years experience in providing technical support, covering database administration and operations to include monitoring maintenance capacity, performance monitoring/planning and incident/problem troubleshooting and resolution
• 5+ years of Experience with SQL Always-On, mirroring, clustering and data replication, and experience with MSSQL components (SSRS/SSAS/SSIS/Fulltext/Polybase/R).
• 3+ years of Experience with application side tuning versus server-side tuning
• 5+ years of Experience with Windows server 2012/2016/2019

Nice-To-Have Skills:

• Experience with Windows 10/8/7 client operating systems.
• Experience with VB, C#, Power shell, Azure Cloud
• Experience with use of PostgreSQL and Linux, ksh
• Experience providing DBA support for Public Cloud MSSQL offerings such as Azure MI, Azure SQL Databases, and GCP Cloud SQL MSSQL.

Soft Skills Required:

• Strong Communication skills
• Team player
• Time management skills

Education:

• Bachelor’s degree in a technical field such as computer science, computer engineering or related field required

Best VS. Average Candidate:

• The ideal candidate would have experience providing DBA support for Public Cloud MSSQL offerings such as Azure MI, Azure SQL Databases, and GCP Cloud SQL MSSQL.
• Need someone who takes care of the entire process:
• Database Sub-tier deployment – SQL integration – installing components
• Data Platform/Application Support – DBA should know which technical services need to be provided to get the application running on the database created
• Ongoing support – after goLive, ensuring everything runs smoothly
• Not looking for candidate who can only do part of function, can’t just be familiar with sub-function of requirements:
o Need to provide end to support on databases
o Need experience with SQL installation and deployment, supporting project before GoLive, working with application teams to get the database customized for the application, managing afterlife after GoLive – manage any issues that arise – need to be able to answer questions such as (need experience with at least 75% of the requirements – Manager will consider candidates who show interest and potential to learn any missing experience)

Candidate Review & Selection

• 1 round – HM + peer – 1 hr – MS Teams Video (technical interview)

Please note:

• AI is not used to screen, assess, or select candidates.
• This role reflects an existing vacancy at the time of posting.