Occupation · SOC 15-1243

Database Architects

Design strategies for enterprise databases, data warehouse systems, and multidimensional networks. Set standards for database operations, programming, query processes, and security. Model, design, and construct large relational databases or data warehouses. Create and optimize data models for warehouse infrastructure and workflow. Integrate new systems with existing warehouse structure and refine system performance and functionality.

Median wage
Projected growth
Annual openings
per year
Employed (US)
Job Zone 4
Typical preparation
Considerable preparation
Stackable credential programs
3,951 mapped

Core skills

Reading ComprehensionCritical ThinkingComplex Problem SolvingJudgment and Decision MakingSystems AnalysisActive ListeningSpeakingProgramming

Knowledge areas

Computers and ElectronicsEngineering and TechnologyDesignMathematicsEnglish Language

Technology & tools

Word processing softwareEnterprise resource planning ERP softwareAccess softwareBackup or archival softwareDevelopment environment software

Representative tasks

Develop and document database architectures.Collaborate with system architects, software architects, design analysts, and others to understand bDevelop database architectural strategies at the modeling, design and implementation stages to addre

Competency framework

Skill expectations by proficiency level.

emerging
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
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
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
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.

Also known as

51 alternate job titles map to this occupation.

Database Computer ConsultantData Management IT Specialist (Data Management Information Technology Specialist)Database ManagerData Warehouse ProgrammerDatabase ConsultantBig Data ArchitectServer DeveloperSolutions ArchitectData OfficerData Storage SpecialistComputer ArchitectDatabase DesignerData MinerData Integration SpecialistKnowledge ArchitectDatabase Software Tech (Database Software Technician)Database ProgrammerData AnalystData Base Design AnalystDBMS Specialist (Database Management System Specialist)Public Key Infrastructure Analyst (PKI Analyst)Data Warehousing EngineerInfrastructure ArchitectDatabase ModelerData Governance AnalystData ManagerDatabase EngineerDatabase Design AnalystData Base AdministratorInformation ArchitectDatabase DeveloperDatabase AnalystData Recovery PlannerDeveloperBig Data EngineerData Warehouse ArchitectData Modeling SpecialistData ModelerData ArchitectEnterprise Architect
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