As of December 01, 2024, the average annual pay of Data Architect I in Detroit, MI is $88,131. While Salary.com is seeing that Data Architect I salary in Detroit, MI can go up to $108,733 or down to $73,276, but most earn between $80,355 and $98,915. Salary.com shows the average base salary (core compensation), as well as the average total cash compensation for the job of Data Architect I in the United States.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $98,130 | $8,177 | $1,887 | $47 |
| Average | $87,431 | $7,286 | $1,681 | $42 |
| 25th Percentile | $79,717 | $6,643 | $1,533 | $38 |
An entry-level Data Architect I with under 1 year experience makes about $88,503. With less than 2 years of experience, a mid-level Data Architect I makes around $89,391. After 2-4 years, the Data Architect I pay rises to about $91,930. Those senior Data Architect I with 5-8 years of experience earn roughly $92,438, and those Data Architect I having 8 years or more experience are expected to earn about $92,776 on average.
| Levels | Salary |
|---|---|
| Entry Level Data Architect I | $88,503 |
| Intermediate Level Data Architect I | $89,391 |
| Senior Level Data Architect I | $91,930 |
| Specialist Level Data Architect I | $92,438 |
| Expert Level Data Architect I | $92,776 |
| Entry Level | 1% |
| Mid Level | 2% |
| Senior Level | 5% |
| Top Level | 6% |
| Experienced | 6% |
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 I information for you to search for. Click on search button below to see Data Architect I 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.
Data Warehousing: Data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is considered a core component of business intelligence.
| Skill | Salary | Demand |
|---|---|---|
|
Team Building
|
$97,825 |
11%
|
|
Data Integration
|
$96,944 |
10%
|
|
Partnering
|
$96,063 |
9%
|
|
Data Modeling
|
$95,181 |
8%
|
|
Data Science
|
$95,181 |
8%
|
|
Team Development
|
$94,300 |
7%
|
