Database administrators (DBAs) install, configure, maintain, and secure the database systems that store everything from customer records to financial transactions. They monitor performance, tune queries, manage backups and disaster recovery, control user access, and plan capacity so systems stay fast and available. Day to day, they work with platforms like Oracle, SQL Server, PostgreSQL, MySQL, and cloud services such as AWS RDS, Azure SQL, and Snowflake.
The role is evolving quickly as databases move to the cloud and automation takes over routine tasks. Modern DBAs increasingly blend traditional administration with cloud architecture, DevOps practices, data security, and compliance work. Organizations in finance, healthcare, government, retail, and technology all depend on DBAs, making it a stable, well-paid career with strong paths into data engineering, cloud architecture, and IT management.
| Entry level | $62,000 |
| Median | $104,000 |
| Senior | $135,000 |
| Top 10% | $175,000 |
| Job growth | +9% |
| Professionals in the USA | 0.14 million |
| Typical hours/week | 42 hrs |
| Remote work share | 45% |
| Annual job openings | 10,000/yr |
| Demand | 5.1 / 10 (Moderate) |
AI and cloud-managed database services are automating many routine DBA tasks such as performance tuning, backups, patching, and query optimization. The role is shifting from hands-on maintenance toward architecture, governance, and data strategy. Demand for DBAs remains stable but the nature of the work is evolving rapidly.
Automation exposure: Automated indexing, self-tuning queries, backup scheduling, patching, failover, capacity monitoring, anomaly detection, and basic SQL generation are increasingly handled by AI-driven and autonomous database platforms (e.g., Oracle Autonomous Database, AWS RDS, Azure SQL). Entry-level and purely operational DBA work is most exposed.
The human edge: Humans provide business context, data architecture and design decisions, security and compliance judgment, cross-team communication, incident leadership during complex outages, cost and vendor tradeoff decisions, and accountability for data integrity. AI cannot own responsibility for critical data or negotiate requirements with stakeholders.
Figures are estimates for exploration — verify current data with BLS.gov.