{"schemaVersion":"1.0","exportedAt":"2026-05-15T12:50:51.716Z","occupation":{"soc":"15-1243.00","title":"Database Architects","group":"Computer & Mathematical","sector":"54","jobZone":4,"jobZoneInferred":false},"framework":{"version":"v.26.05","description":"","contextCovered":"This framework covers database architecture practice in enterprise and technology-sector environments, spanning design, modeling, integration, governance, and strategic leadership for relational, distributed, and cloud-based database systems.","levels":{"emerging":{"label":"Emerging","statements":["Database architecture documentation — draft and organize under direct supervision using established templates in a structured enterprise environment.","Business requirements — gather and record by attending stakeholder meetings alongside senior architects on assigned projects.","Data models — construct basic entity-relationship diagrams for simple applications following mentor-provided guidelines.","Database management system software — install, configure, and perform routine maintenance tasks under close technical oversight.","Database development standards — apply pre-established coding and naming conventions when writing SQL scripts in a supervised development environment.","System scalability concepts — identify and flag potential bottlenecks in proposed database designs during peer-review sessions.","Backup and archival software — execute scheduled backup procedures and verify completion logs according to documented runbooks.","Technical specifications — read and interpret requirements documents to extract relevant data structure needs for assigned schema components.","Commercial database products — assist senior architects in customizing configuration settings to meet project-specific requirements.","Database interfaces — support development of basic data transfer mechanisms by following approved design patterns under team guidance."]},"developing":{"label":"Developing","statements":["Database architectures — develop and document end-to-end designs for moderately complex systems with limited oversight in an enterprise setting.","Stakeholder collaboration — participate actively in cross-functional sessions with system architects and design analysts to translate business needs into data requirements.","Data models — design normalized relational and dimensional models including metadata tables and views for business application support.","Database security — implement role-based access controls, encryption policies, and audit logging in accordance with organizational security standards.","Performance tuning — analyze query execution plans and apply indexing strategies, including function-based indexes, to optimize database response times.","Architectural strategies — apply layered modeling and design approaches across development lifecycle phases to satisfy documented business requirements.","Database application components — build data partitions, global temporary tables, and stored procedures to enable efficient access to enterprise data structures.","Product integration — develop and test methods for connecting disparate database products and middleware within a multi-system environment.","Database development standards — enforce team-level coding and design conventions through code reviews and written guidelines.","ERP and enterprise software — configure and extend commercial database schemas to align with organization-specific operational workflows."]},"proficient":{"label":"Proficient","statements":["Database architectural strategies — design and implement comprehensive strategies spanning modeling, physical design, and deployment for large-scale enterprise systems autonomously.","Business and industry requirements — lead discovery sessions with diverse stakeholders including software architects and operations analysts to translate complex needs into actionable database designs.","Scalable database systems — architect databases that address concurrent scalability, high availability, disaster recovery, and regulatory compliance across heterogeneous environments.","Advanced data modeling — produce multi-tier data models encompassing OLTP, OLAP, and NoSQL structures aligned to varied application performance profiles.","Database application design — engineer complex interfaces, partitioning schemes, and indexing frameworks that optimize throughput for mission-critical workloads.","Integration architecture — design and validate end-to-end data integration pipelines connecting commercial, custom, and cloud-based database systems without introducing latency or data loss.","Systems evaluation — assess existing database architectures against emerging business demands, producing gap analyses and remediation roadmaps.","Development standards — author and maintain organization-wide database development standards, patterns, and best-practice libraries used across project teams.","Security and reliability design — embed threat modeling, redundancy planning, and performance benchmarking into architectural decisions for sensitive data environments.","Technology selection — evaluate and recommend database management platforms and tooling using structured criteria aligned to long-term organizational strategy."]},"advanced":{"label":"Advanced","statements":["Enterprise database strategy — define and own the multi-year data architecture roadmap, aligning database investments with organizational technology and business objectives.","Organizational standards governance — establish, publish, and continuously evolve enterprise-wide database development standards and architectural governance frameworks.","Cross-functional leadership — direct collaboration among software architects, data engineers, security officers, and business executives to ensure cohesive data architecture decisions.","Architectural innovation — pioneer adoption of emerging database paradigms such as distributed ledger, graph, or cloud-native architectures to address evolving industry requirements.","Risk and compliance oversight — lead enterprise-level database risk assessments, ensuring architectures meet regulatory, audit, and data sovereignty obligations across all systems.","Mentorship and capability building — coach and evaluate architects at all experience levels, establishing structured learning pathways and technical review processes.","Enterprise integration design — approve and oversee complex multi-product integration strategies that unify heterogeneous data ecosystems at organizational scale.","Technology portfolio management — guide procurement, licensing, and retirement decisions for enterprise database management systems and supporting tooling.","Performance and scalability standards — set organizational benchmarks for database reliability, response time, and fault tolerance, holding teams accountable through architecture review boards.","Thought leadership — represent the organization's database architecture practice through published standards, industry engagement, and executive-level reporting on data infrastructure strategy."]}}},"sources":{"onet":"v30.2 (CC BY 4.0)","crosswalk":"https://skillscrosswalk.com","generator":"LER.me"},"attribution":"© EBSCOed"}