Backend Developer vs Data Architect: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
Backend Developer
Build server-side APIs, databases, and business logic.
Data Architect
Design enterprise data systems, lakes, and pipelines for scalability and governance.
Data Architect earns more on average — the national median is $14,635/year (11%) higher than a Backend Developer. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
Backend Developer vs Data Architect — Salary by City
National median figures in USD across top cities.
| City | Backend Developer | Data Architect | Difference |
|---|---|---|---|
| San Francisco, CA | $194,530 | $223,662 | Backend $29,132 |
| New York, NY | $167,456 | $176,070 | Backend $8,614 |
| Seattle, WA | $193,111 | $213,160 | Backend $20,049 |
| Austin, TX | $151,541 | $169,668 | Backend $18,127 |
| Chicago, IL | $146,538 | $163,518 | Backend $16,980 |
| Boston, MA | $173,670 | $192,776 | Backend $19,106 |
| London, UK | £73,942 | £114,371 | Backend $40,429 |
| Toronto, Canada | CA$126,152 | CA$200,067 | Backend $73,915 |
Frequently Asked Questions
Does a Backend Developer or Data Architect earn more?+
A Data Architect earns more on average. The national median salary for a Backend Developer is $135,980/year, compared to $150,615/year for a Data Architect — a difference of $14,635 (11%).
Which has better career growth — Backend Developer or Data Architect?+
Backend Developer roles are growing at 22% YoY while Data Architect demand is growing at 28% YoY. Data Architect has stronger near-term demand growth.
Can you switch from Backend Developer 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 — Backend Developer or Data Architect?+
Data Architect has a lower AI automation risk (28% vs 45%). Based on Oxford Martin School and McKinsey 2023 analysis.