As of July 2026,
Database Architects has an AI-exposure score of 71/100
(High exposure) on the AI-Safe Careers index. This is an estimate of task
exposure, not a prediction of job loss.
Score inputs for this role:
This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026). BLS labor-market figures are separate context, not score inputs.
Database Architects
More exposed than 91% of the roles we track. Median pay ~US$139,500. About 4,000 projected openings a year (BLS 2024–34 - growth plus replacement).
Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.
How this role compares to similar Computer & Mathematical roles
What this role usually involves
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.
Broad guidance for this preparation level; exact requirements vary by role and employer.
Source: O*NET 29.1 exact occupation - Database Architects, SOC 15-1243.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.
Database Architects tasks, by AI exposure
- Demonstrate database technical functionality, such as performance, security and reliability.
- Identify, evaluate and recommend hardware or software technologies to achieve desired database performance.
- Test programs or databases, correct errors, and make necessary modifications.
- Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements.
- Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
No durable tasks identified for this role - its real, individually-assessed tasks consistently read as automatable (90%).
We analyzed all 20 Database Architects tasks - 18 automatable and 2 augmentable. The full task map - every task with exactly what to do about each - is in your Career Report.
Your report unlocks three concrete artifacts
Every task scored with what to automate, augment, or protect.
Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.
A keepable roadmap plus resume and LinkedIn repositioning.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.
Adjacent career paths
Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.
Demonstrate database technical functionality, such as performance, security and reliability.
Your AI-Safe Career Report
Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.
AI was the most-cited reason for U.S. layoffs through mid-2026 - the workers who adapt earliest fare best. - Challenger, Gray & Christmas, 2026The upside: Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026
Instant delivery - your personalized report is ready about a minute after checkout.