Database Administrators
Context coveredThis framework covers database administration practice across enterprise, cloud, and hybrid environments — from entry-level system support and routine maintenance through advanced strategic leadership of data infrastructure, governance, and organizational capability development.
- Database management system software — install and configure under direct supervision in a structured enterprise environment.
- Existing database schemas — identify and document modifications needed, referring complex changes to senior staff.
- User access levels and permissions — apply predefined specifications to database segments under guided review.
- Database backup and archival software — execute scheduled backup routines following established protocols on production systems.
- SQL query tools and database user interfaces — write and run basic queries to retrieve and verify data under close oversight.
- Test scripts for database changes — execute predefined test cases and log results for review by senior administrators.
- Security policies and access control procedures — follow documented protocols to protect database files from unauthorized access.
- Technical documentation and O*NET task guides — read and interpret to support routine database administration duties.
- End-user questions about database access — respond to basic inquiries and escalate complex issues to experienced staff.
- Cloud-based database management consoles — navigate and perform routine monitoring tasks under supervisor direction.
- Existing databases and DBMS configurations — modify with reduced oversight to improve performance or accommodate changing business requirements.
- Database security measures — plan and implement access controls and encryption settings to safeguard information against unauthorized disclosure.
- DBMS software upgrades — coordinate installation and testing in staging environments to validate performance improvements before production deployment.
- User accounts and access-level specifications — define and assign permissions for each database segment based on organizational role requirements.
- Database application changes — design and execute test plans, correct identified errors, and apply necessary modifications in a team environment.
- Storage networking software and backup systems — configure and maintain data recovery procedures to meet defined recovery time objectives.
- Junior staff and end users — answer technical questions and deliver structured training sessions on database tools and query interfaces.
- ERP and enterprise data platforms — administer routine operations and troubleshoot integration issues with adjacent business systems.
- Database performance metrics — monitor using platform dashboards and generate reports identifying trends and potential bottlenecks.
- Object-oriented and web platform development tools — collaborate with programmers to review code changes affecting database interactions.
- Complex database architectures — redesign and optimize autonomously to meet evolving enterprise performance, scalability, and availability requirements.
- Multi-layered security frameworks — design and implement comprehensive strategies safeguarding data against accidental damage, modification, and unauthorized disclosure.
- DBMS upgrade projects — independently plan, schedule, and execute version migrations with full rollback contingencies across production environments.
- Non-routine database errors and performance failures — diagnose root causes using systems analysis and apply targeted corrections under minimal oversight.
- Cross-functional database change initiatives — lead testing cycles, validate outcomes against business requirements, and authorize promotion to production.
- User access governance models — develop and enforce permission hierarchies and audit trails aligned with compliance and regulatory standards.
- Technical training programs — design curriculum and deliver instruction to users and junior administrators on advanced database tools and best practices.
- Cloud-based and hybrid database environments — architect and manage data infrastructure integrating on-premise and cloud platforms for enterprise clients.
- Systems evaluation activities — assess database management systems against operational requirements and recommend strategic tooling changes.
- Technical support frameworks — provide authoritative guidance to junior staff and clients resolving complex, multi-system database integration challenges.
- Enterprise database strategy — define long-range architecture roadmaps aligning data infrastructure investments with organizational business objectives.
- Organization-wide security governance — establish policies, standards, and incident-response protocols protecting enterprise databases against systemic risk.
- Database administration teams — mentor, evaluate, and develop staff across all skill levels to build organizational capability in data management.
- DBMS vendor relationships and upgrade roadmaps — negotiate contracts, evaluate emerging technologies, and lead adoption decisions at enterprise scale.
- Cross-departmental data governance programs — chair steering committees and drive policy decisions affecting data integrity, retention, and compliance.
- Organizational training and knowledge-management systems — design and oversee programs that institutionalize database best practices across technical and non-technical staff.
- Complex problem-solving methodologies — apply advanced systems analysis and deductive reasoning to resolve enterprise-wide database failures with broad operational impact.
- Budget and resource planning for data infrastructure — direct capital and operational expenditures for database platforms, tools, and personnel across business units.
- Executive and stakeholder communication — translate complex database performance findings and risk assessments into strategic recommendations for senior leadership.
- Industry standards and emerging database paradigms — evaluate and champion adoption of innovations such as distributed systems, AI-assisted management, and cloud-native architectures.
AI-at-Work Competency Framework
A 4-level framework describing how a worker at each mastery level uses, directs, and evaluates AI tools in this occupation. Each statement cites its evidence inline. Subscribe for $19.99/mo to read the full framework — or sign in if you have a subscription.
- Emerging
- Developing
- Proficient
- Advanced
Pathsmith™ Durable Skills Framework
Pathsmith™ Durable Skills Framework
Ten durable-skill domains mapped to four proficiency levels for this occupation. Subscribe to unlock the full Pathsmith™ Durable Skills Framework across all 1,016 occupations.
Show O*NET source anchors59 anchors · skillscrosswalk.com
O*NET enrichment · skillscrosswalk.com
Suggest an O*NET correctionSource anchors that ground each statement
- Modify existing databases and database management systems or direct programmers and analysts to make changes.
- Plan, coordinate, and implement security measures to safeguard information in computer files against accidental or unauthorized damage, modification or disclosure.
- Plan and install upgrades of database management system software to enhance database performance.
- Specify users and user access levels for each segment of database.
- Test changes to database applications or systems.
- Test programs or databases, correct errors, and make necessary modifications.
- Train users and answer questions.
- Provide technical support to junior staff or clients.
Sources: O*NET v30.2 (CC BY 4.0), SkillsCrosswalk.com, LER.me®, Anthropic Economic Index, SAFI (Jadhav & Danve, 2026), WEF Skills Taxonomy 2021, Pathsmith™ Durable Skills Framework. © 2026 EBSCOed.