For comparison with the information above, the following table provides summary statistics for all contract IT job vacancies in Wiltshire. Most job vacancies include a discernible job title that can be normalized. As such, the figures in the second row provide an indication of the number of contract jobs in our overall sample.
Contract vacancies in Wiltshire with a recognized job title
414
494
781
% of contract IT jobs with a recognized job title
89.42%
85.32%
94.90%
Number of daily rates quoted
260
345
568
10th Percentile
£325
£356
£304
25th Percentile
£511
£460
£425
Median daily rate (50th Percentile)
£575
£550
£550
Median % change year-on-year
+4.55%
-
+2.09%
75th Percentile
£670
£640
£638
90th Percentile
£725
£725
£725
South West median daily rate
£522
£513
£530
% change year-on-year
+1.76%
-3.30%
+0.95%
Number of hourly rates quoted
26
11
25
10th Percentile
£16.94
-
£14.36
25th Percentile
£20.58
-
£44.25
Median hourly rate
£24.00
£12.79
£50.00
Median % change year-on-year
+87.65%
-74.42%
-8.26%
75th Percentile
£25.15
£15.58
£60.00
90th Percentile
-
£25.00
£69.50
South West median hourly rate
£25.15
£65.00
£56.49
% change year-on-year
-61.31%
+15.06%
-8.15%
Data Architect Job Vacancy Trend in Wiltshire
Historical trend showing the proportion of contract IT job postings featuring 'Data Architect' in the job title relative to all contract IT jobs advertised in Wiltshire.
Data Architect Daily Rate Trend in Wiltshire
Contractor daily rate distribution trend for Data Architect job vacancies in Wiltshire.
Data Architect Skill Set Top 4 Co-Occurring Skills & Capabilities in Wiltshire
For the 6 months to 2 November 2025, Data Architect contract job roles required the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all contract job ads across the Wiltshire region featuring Data Architect in the job title.
Data Architect Skill Set Co-Occurring Skills & Capabilities in Wiltshire by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
