As of 26 April 2024, there is not enough information available from job vacancies posted within the last 6 months to determine the median Data Architect salary in Brentford.
6 months to 26 Apr 2024
Same period 2023
Same period 2022
Rank
23
-
-
Rank change year-on-year
-
-
-
Permanent jobs requiring a Data Architect
1
0
0
As % of all permanent jobs advertised in Brentford
The following table is for comparison with the above and includes summary statistics for all permanent IT job vacancies advertised in Brentford. 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 permanent jobs in our overall sample.
Permanent vacancies in Brentford with a recognized job title
71
58
120
% of permanent jobs with a recognized job title
95.95%
98.31%
98.36%
Number of salaries quoted
25
24
38
10th Percentile
£28,500
£26,625
£26,750
25th Percentile
£29,000
£51,250
£44,688
Median annual salary (50th Percentile)
£53,500
£52,500
£63,750
Median % change year-on-year
+1.90%
-17.65%
+6.25%
75th Percentile
£75,000
£53,750
£81,875
90th Percentile
£85,200
-
£86,500
Hounslow median annual salary
£40,000
£50,385
£60,000
% change year-on-year
-20.61%
-16.03%
+4.35%
Data Architect Job Vacancy Trend in Brentford
Job postings that featured Data Architect in the job title as a proportion of all IT jobs advertised in Brentford.
Data Architect Salary Trend in Brentford
3-month moving average salary quoted in jobs citing Data Architect in Brentford.
Data Architect Skill Set Top 22 Co-occurring Skills and Capabilities in Brentford
For the 6 months to 26 April 2024, Data Architect job roles required the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the Brentford region featuring Data Architect in the job title.
Data Architect Skill Set Co-occurring Skills and Capabilities in Brentford by Category
The follow tables expand on the table above by listing co-occurrences grouped by category.
The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:
