As of April 01, 2025, the average annual salary for a Data Warehouse Architect IV in Atlanta, GA is $127,273. According to Salary.com, salaries can range from a low of $110,958 to a high of $145,346, with most professionals earning between $118,733 and $136,733.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $136,733 | $11,394 | $2,629 | $66 |
| Average | $127,273 | $10,606 | $2,448 | $61 |
| 25th Percentile | $118,733 | $9,894 | $2,283 | $57 |
An entry-level Data Warehouse Architect IV with under 1 year experience makes about $123,471. With less than 2 years of experience, a mid-level Data Warehouse Architect IV makes around $124,109. After 2-4 years, the Data Warehouse Architect IV pay rises to about $125,130. Those senior Data Warehouse Architect IV with 5-8 years of experience earn roughly $126,406, and those Data Warehouse Architect IV having 8 years or more experience are expected to earn about $128,709 on average.
| Levels | Salary |
|---|---|
| Entry Level Data Warehouse Architect IV | $123,471 |
| Intermediate Level Data Warehouse Architect IV | $124,109 |
| Senior Level Data Warehouse Architect IV | $125,130 |
| Specialist Level Data Warehouse Architect IV | $126,406 |
| Expert Level Data Warehouse Architect IV | $128,709 |
| Entry Level | 3% |
| Mid Level | 2% |
| Senior Level | 2% |
| Top Level | 1% |
| Experienced | 1% |
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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.
Computer Science: Computer science is the study of computation, automation, and information. Computer science spans theoretical disciplines (such as algorithms, theory of computation, information theory, and automation) to practical disciplines.
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 |
|---|---|---|
|
Business Insight
|
$175,637 |
38%
|
|
Prioritization
|
$170,546 |
34%
|
|
Database Design
|
$168,000 |
32%
|
|
Relational Databases
|
$152,728 |
20%
|
|
XML
|
$152,728 |
20%
|
|
API
|
$151,455 |
19%
|
