The salary of a Data Architect II in the United States varies depending on several factors, including experience, location, education level, marketing trend and company sizes.
As of March 01, 2025, the average annual salary for a Data Architect II in the United States is $115,748. Salary.com reports that pay typically ranges from $100,474 to $133,132, with most professionals earning between $86,569 and $148,960.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $133,132 | $11,094 | $2,560 | $64 |
| Average | $115,748 | $9,646 | $2,226 | $56 |
| 25th Percentile | $100,474 | $8,373 | $1,932 | $48 |
An entry-level Data Architect II with less than 1 year of experience earns about $109,890. With 1-2 years of experience, the average salary increases to $110,364. For 2-4 years of experience, the pay typically rises to $116,430. Senior-level professionals with 5-8 years of experience earn around $123,824, and those with over 8 years of experience can expect an average of $124,352.
| Levels | Salary |
|---|---|
| Entry Level Data Architect II | $109,890 |
| Intermediate Level Data Architect II | $110,364 |
| Senior Level Data Architect II | $116,430 |
| Specialist Level Data Architect II | $123,824 |
| Expert Level Data Architect II | $124,352 |
| Entry Level | 5% |
| Mid Level | 5% |
| Senior Level | 1% |
| Top Level | 7% |
| Experienced | 7% |
Salaries in the United States differ widely between states due to factors like cost of living, local economies, and industry presence.
What Am I Worth?
Salaries in the United States can vary greatly between cities due to factors like cost of living, local economies, and industry presence.
As of March 01, 2025, our research reveals a significant shift in Data Architect II compensation over the past six years. For example, the median salary increased from $102,234 in 2023 to approximately $102,577 in 2024. (For a detailed analysis of Data Architect II salary trends, click here.)
Key factors like location, experience, industry demand, and economic growth significantly influence salary variations, making them important to consider.
Salary.com job board provides millions of Data Architect II information for you to search for. Click on search button below to see Data Architect II job openings or enter a new job title here.
Here are companies hiring for Data Architect II and their salaries, click below for more details.
| Core Compensation | ||||
| Core Compensation | Median | % of Total | ||
| Base Salary | $115,748 | 69.4% | ||
| Bonus | $4,606 | 2.8% | ||
| Value of Benefits | ||||
| Core Compensation | Median | % of Total | ||
| Social Security | $9,207 | 5.5% | ||
| 401K/403B | $5,055 | 3.0% | ||
| Disability | $2,407 | 1.4% | ||
| Healthcare | $8,352 | 5.0% | ||
| Pension | $6,499 | 3.9% | ||
| Time Off | $14,813 | 8.9% | ||
| Total Compensation | $166,686 | 100% | ||
| Degree Level | % of user with this level of education |
|---|---|
| High School | 2.0% |
| Associates | 7.8% |
| Bachelors | 70.6% |
| Masters | 19.6% |
What Am I Worth?
The average annual salary of Data Architect II is $115,748. In case you are finding an easy salary calculator, the average hourly pay of Data Architect II is $56; the average weekly pay of Data Architect II is $2,226; the average monthly pay of Data Architect II is $9,646.
A Data Architect II's earning potential can vary widely depending on several factors, including location, industry, experience, education, and the specific employer. According to the latest salary data by Salary.com, a Data Architect II earns the most in San Jose, CA, where the annual salary of a Data Architect II is $145,263.
The highest pay for Data Architect II is $148,960.
The lowest pay for Data Architect II is $86,569.
Data Architect II designs and builds databases for data storage or processing. Develops strategies for warehouse implementation, data acquisition and access, and data archiving and recovery. Being a Data Architect II builds data models and defines the structure, attributes and nomenclature of data elements. May evaluate new data sources for adherence to the organization's quality standards and ease of integration. Additionally, Data Architect II requires a bachelor's degree. Typically reports to a supervisor or manager. The Data Architect II occasionally directed in several aspects of the work. Gaining exposure to some of the complex tasks within the job function. To be a Data Architect II typically requires 2 -4 years of related experience.
Specify the abilities and skills that a person needs in order to carry out the specified job duties. 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.
Troubleshooting: Troubleshooting is a form of problem solving, often applied to repair failed products or processes on a machine or a system. It is a logical, systematic search for the source of a problem in order to solve it, and make the product or process operational again. Troubleshooting is needed to identify the symptoms. Determining the most likely cause is a process of elimination—eliminating potential causes of a problem. Finally, troubleshooting requires confirmation that the solution restores the product or process to its working state. In general, troubleshooting is the identification or diagnosis of "trouble" in the management flow of a system caused by a failure of some kind. The problem is initially described as symptoms of malfunction, and troubleshooting is the process of determining and remedying the causes of these symptoms. A system can be described in terms of its expected, desired or intended behavior (usually, for artificial systems, its purpose). Events or inputs to the system are expected to generate specific results or outputs. (For example, selecting the "print" option from various computer applications is intended to result in a hardcopy emerging from some specific device). Any unexpected or undesirable behavior is a symptom. Troubleshooting is the process of isolating the specific cause or causes of the symptom. Frequently the symptom is a failure of the product or process to produce any results. (Nothing was printed, for example). Corrective action can then be taken to prevent further failures of a similar kind.
Data Modeling: Data modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques.
Agile: Agile is a development process where feedback is continuously gathered from users to create the best user experience.
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