Platform Engineer vs Solutions Architect: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
Platform Engineer
Build and maintain internal developer platforms and tooling.
Solutions Architect
Design technical solutions to meet customer business requirements.
Solutions Architect earns more on average — the national median is $17,450/year (18%) higher than a Platform Engineer. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
Platform Engineer vs Solutions Architect — Salary by City
National median figures in USD across top cities.
| City | Platform Engineer | Solutions Architect | Difference |
|---|---|---|---|
| San Francisco, CA | $147,719 | $166,946 | Platform $19,227 |
| New York, NY | $119,390 | $142,757 | Platform $23,367 |
| Seattle, WA | $138,263 | $165,593 | Platform $27,330 |
| Austin, TX | $112,024 | $130,504 | Platform $18,480 |
| Chicago, IL | $106,120 | $128,220 | Platform $22,100 |
| Boston, MA | $127,664 | $149,219 | Platform $21,555 |
| London, UK | £79,847 | £88,896 | Platform $9,049 |
| Toronto, Canada | CA$131,262 | CA$151,769 | Platform $20,507 |
Frequently Asked Questions
Does a Platform Engineer or Solutions Architect earn more?+
A Solutions Architect earns more on average. The national median salary for a Platform Engineer is $99,130/year, compared to $116,580/year for a Solutions Architect — a difference of $17,450 (18%).
Which has better career growth — Platform Engineer or Solutions Architect?+
Platform Engineer roles are growing at 26% YoY while Solutions Architect demand is growing at 24% YoY. Platform Engineer has stronger near-term demand growth.
Can you switch from Platform Engineer to Solutions Architect?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: AWS.
Which is harder to automate — Platform Engineer or Solutions Architect?+
Solutions Architect has a lower AI automation risk (30% vs 36%). Based on Oxford Martin School and McKinsey 2023 analysis.