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Database Administrator

Technology AI-Augmented

Manages and maintains software used to store and organize data, ensuring security and accessibility.

B
🔵 Stable
Database Administrator shows steady demand and moderate hiring. A solid long-term path with manageable risk.
64
/ 100
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Work Profile

Stress
4/10
Work-Life
8/10
Future Outlook
6/10
Hours / Week
45

Salary Growth

Starting
$80,000
Year 5
$98,000
Year 10
$115,000
Top Earners
$175,000
Promotion Path: Junior DBA > Senior DBA > Database Manager > Data Architect.

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Core Skills and Tools

These are the practical tools, systems, math, and AI skills used in Database Administrator roles.

AI & Automation

Automation scripting

Industry Knowledge

Security clearance eligibility
TS/SCI clearance

Requirements

Bachelor's degree requirement
Degree field requirement
Professional certification or license

Systems & Software

Cloud infrastructure
Python
SQL

About to graduate?

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Thinking about switching into Database Administrator?

Answer a few skill questions and see your personalized skill gap, recommended projects, and a step-by-step plan to get closer to this role.

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Other Potential Career Pivot Paths

Many professionals start in Database Administrator roles and later move into higher-paying or more specialized careers by developing additional skills.

Database Architect

Advance into higher level design ownership for data platforms backup strategy and performance standards.

Typical Salary: $130000-$190000

Skills Needed: database design,scaling,security,leadership

Difficulty: 🔴 Hard

View Career →

Cloud Database Engineer

Move into an adjacent engineering role administering managed cloud databases and automation workflows. It is a practical transition from on premises administration.

Typical Salary: $125k-$175k

Skills Needed: cloud databases, automation, backup strategy, monitoring

Difficulty: 🟡 Moderate

View Career →

How to Get Hired

This section focuses on practical readiness: what skills matter, what tools or certifications may help, and what you can do now to become more employable.

Unlock the Full Getting Hired Plan

See the exact skills, certifications, projects, and step-by-step plan to break into Database Administrator.

  • Certifications that actually help
  • Real projects to build experience
  • A 30–60 day action plan
Unlock Full Getting Hired Plan

AI Impact & Task Breakdown

AI-Augmented

AI automates routine maintenance and tuning, shifting focus to high-level architecture.

How to Stay Valuable

  • Develop judgment, communication, and problem-solving skills
  • Learn how AI tools can support this career instead of ignoring them
  • Move toward strategy, interpretation, and higher-value work over time

AI Scores

Automation Risk: 5.5/10 Human Value: 9.1/10 AI Leverage: 7.8/10

Based on 10 analyzed tasks

More likely automated

  • Tune queries and indexes
  • Maintain database availability

Still requires human judgment

  • Manage backups and recovery
  • Apply security permissions

How AI Affects This Job

This career includes a mix of tasks. Some are becoming more automated, while others are becoming more valuable because they require human expertise.

Maintain database availability

Monitor uptime performance and backups to keep production databases reliable

Moderate Automation High Human Value High AI Leverage
Automation: 6/10 • AI Leverage: 9/10 • Human Value: 9/10

Likely adoption: 3-5 years

Monitor database performance

Review query latency locks and resource usage to keep production databases stable

Moderate Automation High Human Value High AI Leverage
Automation: 6/10 • AI Leverage: 8/10 • Human Value: 9/10

Likely adoption: 3-5 years

Tune queries and indexes

Improve response times by analyzing plans indexing tables and adjusting configurations

High Automation Risk High Human Value High AI Leverage
Automation: 7/10 • AI Leverage: 9/10 • Human Value: 8/10

Likely adoption: 3-5 years

Manage backups and recovery

Configure backup jobs and test restore procedures for critical systems

Moderate Automation High Human Value High AI Leverage
Automation: 5/10 • AI Leverage: 7/10 • Human Value: 10/10

Likely adoption: 5-10 years

Manage security and access

Set permissions audit access and enforce policies for database users and applications

Moderate Automation High Human Value High AI Leverage
Automation: 5/10 • AI Leverage: 8/10 • Human Value: 9/10

Likely adoption: 3-5 years

Apply security permissions

Set roles access controls and audit settings to protect sensitive data

Moderate Automation High Human Value High AI Leverage
Automation: 5/10 • AI Leverage: 7/10 • Human Value: 10/10

Likely adoption: 5-10 years

Plan backup and recovery procedures

Test restore processes and ensure disaster recovery standards are met for critical systems

Moderate Automation High Human Value High AI Leverage
Automation: 5/10 • AI Leverage: 8/10 • Human Value: 10/10

Likely adoption: 5-10 years

Tune indexes and queries

Optimize indexing strategies and execution plans for heavy workloads

Moderate Automation High Human Value High AI Leverage
Automation: 6/10 • AI Leverage: 8/10 • Human Value: 8/10

Likely adoption: 3-5 years

Support database upgrades and migrations

Coordinate version changes and data moves with minimal downtime or loss risk

Moderate Automation High Human Value High AI Leverage
Automation: 6/10 • AI Leverage: 8/10 • Human Value: 9/10

Likely adoption: 3-5 years

Plan maintenance windows

Coordinate patching upgrades and schema changes with application teams

Moderate Automation High Human Value
Automation: 4/10 • AI Leverage: 6/10 • Human Value: 9/10

Likely adoption: 5-10 years

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