Data Scientist vs Solutions Architect
Measured from each occupation's own live postings: related jobs with a real gap between them. Posted pay favors the solutions architect by about $6k at the midpoint. Salary bands, both switching directions, and the shared skills below — every number from live postings, refreshed nightly.
Data Scientist
60 open roles · data scientist salary · careers for data scientists
Solutions Architect
60 open roles · solutions architect salary · careers for solutions architects
Switching, both directions
Data Scientist → Solutions Architect
The gap, from solutions architect postings: Azure, GCP, Java, Clinical Research.
Solutions Architect → Data Scientist
The gap, from data scientist postings: Statistics, A/B Testing, Data Visualization, Deep Learning.
Related comparisons
- Data Analyst vs Data Scientist65% peak overlap
- Data Scientist vs Machine Learning Engineer61% peak overlap
- Data Scientist vs Research Scientist60% peak overlap
- Data Engineer vs Solutions Architect56% peak overlap
- Actuary vs Data Scientist53% peak overlap
- Software Engineer vs Solutions Architect52% peak overlap
Which one do your skills favor?
Run the instrument with your own skill set and both readiness numbers recompute for you. Free, no account.
Quick answers
Which pays more, data scientist or solutions architect?
Posted mid-bands from each occupation's own corpus: Data Scientist $84k–$163k, Solutions Architect $89k–$170k. At the midpoint that favors the solutions architect by about $6k a year. Only postings that state pay are counted.
Are data scientist and solutions architect the same job?
Related but distinct: postings share a real core and then diverge.
Can a data scientist become a solutions architect?
Skill readiness is 48 percent: that share of what solutions architect postings demand, a typical data scientist profile already covers.
Can a solutions architect become a data scientist?
Skill readiness is 37 percent in this direction.
Method: each occupation’s salary band is the posted 25th–75th percentile from its own corpus; readiness is coverage of the destination’s posting-skill weight; shared skills are read from the overlap waterfall. Pairs sharing too few skills are not scored in that direction. Refreshed with the nightly scrape.