As of April 01, 2025, the average annual salary for a Data Architect III in Arlington, VA is $149,544. According to Salary.com, salaries can range from a low of $117,505 to a high of $183,980, with most professionals earning between $132,773 and $167,569.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $151,345 | $12,612 | $2,910 | $73 |
| Average | $135,065 | $11,255 | $2,597 | $65 |
| 25th Percentile | $119,918 | $9,993 | $2,306 | $58 |
An entry-level Data Architect III with under 1 year experience makes about $139,197. With less than 2 years of experience, a mid-level Data Architect III makes around $140,426. After 2-4 years, the Data Architect III pay rises to about $142,885. Those senior Data Architect III with 5-8 years of experience earn roughly $151,860, and those Data Architect III having 8 years or more experience are expected to earn about $156,618 on average.
| Levels | Salary |
|---|---|
| Entry Level Data Architect III | $139,197 |
| Intermediate Level Data Architect III | $140,426 |
| Senior Level Data Architect III | $142,885 |
| Specialist Level Data Architect III | $151,860 |
| Expert Level Data Architect III | $156,618 |
| Entry Level | 3% |
| Mid Level | 4% |
| Senior Level | 6% |
| Top Level | 12% |
| Experienced | 16% |
Not the salary data you are looking for? Choose the city salary you want to see.
Salary.com job board provides millions of Data Architect III information for you to search for. Click on search button below to see Data Architect III job openings or enter a new job title here.
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 Management: Data Management comprises all disciplines related to managing data as a valuable resource. The concept of data management arose in the 1980s as technology moved from sequential processing (first cards, then tape) to random access storage. Since it was now possible to store a discreet fact and quickly access it using random access disk technology, those suggesting that data management was more important than business process management used arguments such as "a customer's home address is stored in 75 (or some other large number) places in our computer systems." However, during this period, random access processing was not competitively fast, so those suggesting "process management" was more important than "data management" used batch processing time as their primary argument. As software applications evolved into real-time, interactive usage, it became obvious that both management processes were important. If the data was not well defined, the data would be mis-used in applications. If the process wasn't well defined, it was impossible to meet user needs.
Agile: Agile is a development process where feedback is continuously gathered from users to create the best user experience.
| Skill | Salary | Demand |
|---|---|---|
|
Innovation
|
$152,535 |
2%
|
|
Team Building
|
$152,535 |
2%
|
|
AWS
|
$152,535 |
2%
|
|
Flexibility
|
$152,535 |
2%
|
|
NoSQL
|
$152,535 |
2%
|
|
Teamwork
|
$151,039 |
1%
|
