Database Administrator
Location: Lutz, FL
Duration: 6 Months
Pay Rate: $80/hr
We are seeking an experienced Database Administrator to join a collaborative enterprise database team supporting a large-scale IT environment. This role will focus on both database operational support and project-based initiatives, including database architecture, cloud strategy, and migration efforts.
This is a highly visible role working closely with internal IT teams, developers, project teams, and business stakeholders. The ideal candidate will bring strong hands-on database administration experience, excellent documentation skills, and the ability to support modernization initiatives across the database environment.
Key Responsibilities
- Administer and support enterprise-wide database environments
- Build, configure, and modify new and existing database systems
- Help design and recommend database architectures aligned with business and IT requirements
- Create and document reference architectures for review and approval
- Support database cloud strategy initiatives and migration from on-prem environments where appropriate
- Assist with backup modernization efforts, including migration to enterprise backup solutions
- Support high availability, disaster recovery, replication, and database resiliency initiatives
- Partner with developers, technical teams, and project stakeholders on database-related efforts
- Maintain technical documentation and communicate changes clearly to the database team
- Mentor junior or less experienced DBA team members
- Participate in on-call support as needed
Required Experience
- Strong experience as a Database Administrator in enterprise environments
- Experience supporting SQL Server and Oracle
- Experience with database architecture, administration, and operational support
- Knowledge of high availability, disaster recovery, and replication
- Experience supporting or contributing to cloud database strategy / migrations
- Strong documentation, communication, and critical thinking skills
Preferred Experience
- Experience with PostgreSQL
- Exposure to Azure and/or AWS
- PowerShell scripting
- Infrastructure as Code experience
- Exposure to ARM or Bicep
- ETL tools such as SSIS or Data Factory
- Data warehousing experience, including Snowflake
