# 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.

- **SOC code:** 15-1243.00
- **Canonical URL:** https://singulariki.com/roles/role-15-1243-00
- **Also known as:** Database Analyst, Database Developer, Database Programmer, Information Architect, Data Architect, Data Engineer, Data Officer, Database Architect
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Develop and document database architectures.
- Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
- Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements.
- Design databases to support business applications, ensuring system scalability, security, performance, and reliability.
- Develop data models for applications, metadata tables, views or related database structures.
- Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
- Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs.
- Create and enforce database development standards.
- Document and communicate database schemas, using accepted notations.
- Develop data model describing data elements and their use, following procedures and using pen, template or computer software.
- Work as part of a project team to coordinate database development and determine project scope and limitations.
- Set up database clusters, backup, or recovery processes.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Computers and Electronics _(knowledge)_
- Engineering and Technology _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Complex Problem Solving _(transferable_skill)_
- Judgment and Decision Making _(transferable_skill)_
- Oral Comprehension _(ability)_
- Written Comprehension _(ability)_
- Deductive Reasoning _(ability)_
- Systems Analysis _(transferable_skill)_
- Oral Expression _(ability)_
- Problem Sensitivity _(ability)_

**Skills in demand:**
- Reading Comprehension _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Complex Problem Solving _(Common Skill)_
- Systems Analysis _(Specialized Skill)_
- Information Ordering _(Specialized Skill)_
- Inductive Reasoning _(Common Skill)_
- Mathematics _(Common Skill)_
- Microsoft PowerPoint _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Apache Spark _(Specialized Skill)_
- Apache Kafka _(Specialized Skill)_

**Tools & technology:**
- Amazon Web Services AWS software _(hot technology, in demand)_
- Apache Kafka _(hot technology, in demand)_
- Apache Spark _(hot technology, in demand)_
- Microsoft Azure software _(hot technology, in demand)_
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Power BI _(hot technology, in demand)_
- Microsoft PowerPoint _(hot technology, in demand)_
- Oracle Java _(hot technology, in demand)_
- Python _(hot technology, in demand)_
- Snowflake _(hot technology, in demand)_
- Structured query language SQL _(hot technology, in demand)_

## AI exposure & outlook

- **AI task-overlap index:** 98th percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **LLM task exposure, γ (OpenAI / Eloundou):** 95th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 91st percentile (High) — source: microsoft_applicability.
- **Projected employment (BLS 2024–34):** 8.7% growth (Growing fast); 4k annual openings; 66.9k → 72.7k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $135,980; 64,770 employed.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130

---
_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-15-1243-00_