As of March 01, 2025, the average annual salary for a Data Architect V in Chicago, IL is $185,893. Salary.com reports that pay typically ranges from $169,110 to $204,316, with most professionals earning between $153,830 and $221,090.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $194,773 | $16,231 | $3,746 | $94 |
| Average | $177,210 | $14,767 | $3,408 | $85 |
| 25th Percentile | $161,211 | $13,434 | $3,100 | $78 |
An entry-level Data Architect V with under 1 year experience makes about $174,906. With less than 2 years of experience, a mid-level Data Architect V makes around $176,116. After 2-4 years, the Data Architect V pay rises to about $176,600. Those senior Data Architect V with 5-8 years of experience earn roughly $179,020, and those Data Architect V having 8 years or more experience are expected to earn about $181,998 on average.
| Levels | Salary |
|---|---|
| Entry Level Data Architect V | $174,906 |
| Intermediate Level Data Architect V | $176,116 |
| Senior Level Data Architect V | $176,600 |
| Specialist Level Data Architect V | $179,020 |
| Expert Level Data Architect V | $181,998 |
| Entry Level | 1% |
| Mid Level | 1% |
| Senior Level | 0% |
| Top Level | 1% |
| Experienced | 3% |
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Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.
Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
Data Modeling: Data modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques.
Data Quality: Data quality refers to the condition of a set of values of qualitative or quantitative variables. There are many definitions of data quality but data is generally considered high quality if it is "fit for [its] intended uses in operations, decision making and planning". Alternatively, data is deemed of high quality if it correctly represents the real-world construct to which it refers. Furthermore, apart from these definitions, as data volume increases, the question of internal data consistency becomes significant, regardless of fitness for use for any particular external purpose. People's views on data quality can often be in disagreement, even when discussing the same set of data used for the same purpose. Data cleansing may be required in order to ensure data quality.
| Skill | Salary | Demand |
|---|---|---|
|
Commitment
|
$198,906 |
7%
|
|
SQL Server
|
$197,047 |
6%
|
|
Azure
|
$197,047 |
6%
|
|
Data Science
|
$195,188 |
5%
|
|
Computer Science
|
$195,188 |
5%
|
|
Insight
|
$195,188 |
5%
|
