{"schemaVersion":"1.0","exportedAt":"2026-05-15T12:51:30.309Z","occupation":{"soc":"15-1242.00","title":"Database Administrators","group":"Computer & Mathematical","sector":"54","jobZone":4,"jobZoneInferred":false},"framework":{"version":"v.26.05","description":"","contextCovered":"This 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.","levels":{"emerging":{"label":"Emerging","statements":["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."]},"developing":{"label":"Developing","statements":["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."]},"proficient":{"label":"Proficient","statements":["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."]},"advanced":{"label":"Advanced","statements":["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."]}}},"sources":{"onet":"v30.2 (CC BY 4.0)","crosswalk":"https://skillscrosswalk.com","generator":"LER.me"},"attribution":"© EBSCOed"}