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The differences between data warehouse architects and data engineers can be seen in a few details. Each job has different responsibilities and duties. Additionally, a data warehouse architect has an average salary of $110,771, which is higher than the $109,675 average annual salary of a data engineer.
The top three skills for a data warehouse architect include analytics, data warehouse and business intelligence. The most important skills for a data engineer are python, java, and cloud.
| Data Warehouse Architect | Data Engineer | |
| Yearly salary | $110,771 | $109,675 |
| Hourly rate | $53.26 | $52.73 |
| Growth rate | 9% | 21% |
| Number of jobs | 183,223 | 303,105 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 64% | Bachelor's Degree, 65% |
| Average age | 44 | 39 |
| Years of experience | - | 4 |
Data warehouse architects are in charge of planning data warehouse solutions and function with the standard data warehouse technologies to develop plans that best sustain an organization or business. Typically, data warehouse architects usually take employer goals as well as client demands and work to create a particular architecture that will be sustained to serve certain stated objectives. Their duties include planning and implementing effective database solutions and models, assessing and identifying database structural necessities, and evaluating database execution procedures to make sure they follow internal and external guidelines.
A data engineer is someone who makes data science possible. This IT job requires the search for data set trends and algorithm development to make raw data more beneficial to the enterprise. Data engineers are responsible for establishing and maintaining an environment that permits other data functions. The necessary skills for the job include in-depth knowledge of multiple programming languages and SQL database design. Among the other skills data engineers should develop include data warehousing and architecture, data mining and modeling, and statistical regression analysis.
Data warehouse architects and data engineers have different pay scales, as shown below.
| Data Warehouse Architect | Data Engineer | |
| Average salary | $110,771 | $109,675 |
| Salary range | Between $83,000 And $146,000 | Between $80,000 And $149,000 |
| Highest paying City | San Francisco, CA | San Francisco, CA |
| Highest paying state | California | California |
| Best paying company | Apple | The Citadel |
| Best paying industry | Insurance | Technology |
There are a few differences between a data warehouse architect and a data engineer in terms of educational background:
| Data Warehouse Architect | Data Engineer | |
| Most common degree | Bachelor's Degree, 64% | Bachelor's Degree, 65% |
| Most common major | Computer Science | Computer Science |
| Most common college | Massachusetts Institute of Technology | California State University - Long Beach |
Here are the differences between data warehouse architects' and data engineers' demographics:
| Data Warehouse Architect | Data Engineer | |
| Average age | 44 | 39 |
| Gender ratio | Male, 83.0% Female, 17.0% | Male, 81.5% Female, 18.5% |
| Race ratio | Black or African American, 6.2% Unknown, 4.7% Hispanic or Latino, 8.8% Asian, 12.0% White, 67.7% American Indian and Alaska Native, 0.5% | Black or African American, 4.3% Unknown, 4.8% Hispanic or Latino, 8.0% Asian, 30.1% White, 52.7% American Indian and Alaska Native, 0.2% |
| LGBT Percentage | 11% | 8% |