Data Architect 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 Architect

Posted band$91k–$147k
FieldTechnology
Postings read806

Solutions Architect

Posted band$87k–$163k
FieldTechnology
Postings read2,794
DemandHigh
Fully remote8%

The overlap, measured

Skills that appear in both occupations’ posting demand. This is the shared core; everything else on each side is the difference.

AWSAzureLLMs / Generative AIData AnalysisPythonGCPProduct ManagementSparkSQLSAPETLClinical ResearchMachine LearningData Engineering

Switching, both directions

Data ArchitectSolutions Architect

52% skill readiness

Transition estimate: 12–24 mo.

The gap, from solutions architect postings: LangChain / Agents, Java, REST APIs, Microservices.

The full route page: data architect to solutions architect

Solutions ArchitectData Architect

Not scored: the pair shares too few skills in this direction to measure honestly. Run the instrument with your own skill set for a personal read.

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Quick answers

Which pays more, data architect or solutions architect?

Posted mid-bands from each occupation's own corpus: Data Architect $91k–$147k, Solutions Architect $87k–$163k. At the midpoint that favors the solutions architect by about $6k a year. Only postings that state pay are counted.

Are data architect and solutions architect the same job?

Related but distinct: postings share a real core and then diverge. Skills both sets of postings ask for: AWS, Azure, LLMs / Generative AI, Data Analysis, Python.

Can a data architect become a solutions architect?

Skill readiness is 52 percent: that share of what solutions architect postings demand, a typical data architect profile already covers. Estimated transition: 12–24 mo.

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.

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