Prompt Engineer vs Data Architect: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
Prompt Engineer
Design and optimise prompts for large language models and AI systems.
Data Architect
Design enterprise data systems, lakes, and pipelines for scalability and governance.
Data Architect earns more on average — the national median is $30,385/year (25%) higher than a Prompt Engineer. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
Prompt Engineer vs Data Architect — Salary by City
National median figures in USD across top cities.
| City | Prompt Engineer | Data Architect | Difference |
|---|---|---|---|
| San Francisco, CA | $179,192 | $223,662 | Prompt $44,470 |
| New York, NY | $135,980 | $176,070 | Prompt $40,090 |
| Seattle, WA | $168,489 | $213,160 | Prompt $44,671 |
| Austin, TX | $133,715 | $169,668 | Prompt $35,953 |
| Chicago, IL | $131,261 | $163,518 | Prompt $32,257 |
| Boston, MA | $160,844 | $192,776 | Prompt $31,932 |
| London, UK | £92,719 | £114,371 | Prompt $21,652 |
| Toronto, Canada | CA$162,766 | CA$200,067 | Prompt $37,301 |
Frequently Asked Questions
Does a Prompt Engineer or Data Architect earn more?+
A Data Architect earns more on average. The national median salary for a Prompt Engineer is $120,230/year, compared to $150,615/year for a Data Architect — a difference of $30,385 (25%).
Which has better career growth — Prompt Engineer or Data Architect?+
Prompt Engineer roles are growing at 80% YoY while Data Architect demand is growing at 28% YoY. Prompt Engineer has stronger near-term demand growth.
Can you switch from Prompt Engineer to Data Architect?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: analytical thinking, communication, and industry knowledge.
Which is harder to automate — Prompt Engineer or Data Architect?+
Prompt Engineer has a lower AI automation risk (15% vs 28%). Based on Oxford Martin School and McKinsey 2023 analysis.