The salary of a Data Architect - Consultant in the United States varies depending on several factors, including experience, location, education level, marketing trend and company sizes.
As of April 01, 2025, the average hourly pay of Data Architect - Consultant in the United States is $78. While Salary.com is seeing that Data Architect - Consultant salary in the US can go up to $89 or down to $65, but most earn between $71 and $84. Salary.com shows the average base salary (core compensation), as well as the average total cash compensation for the job of Data Architect - Consultant in the United States.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $84 | $7 | $2 | $0 |
| Average | $78 | $6 | $1 | $0 |
| 25th Percentile | $71 | $6 | $1 | $0 |
As of April 01, 2025, Salary.com is seeing that an entry-level Data Architect - Consultant with under 1 year experience makes about $156,001. With less than 2 years of experience, a mid-level Data Architect - Consultant makes around $157,036. After 2-4 years, the Data Architect - Consultant pay rises to about $157,450. Those senior Data Architect - Consultant with 5-8 years of experience earn roughly $159,520, and those Data Architect - Consultant having 8 years or more experience is expected to earn about $161,961 on average.
| Levels | Salary |
|---|---|
| Entry Level Data Architect - Consultant | $156,001 |
| Intermediate Level Data Architect - Consultant | $157,036 |
| Senior Level Data Architect - Consultant | $157,450 |
| Specialist Level Data Architect - Consultant | $159,520 |
| Expert Level Data Architect - Consultant | $161,961 |
| Entry Level | 3% |
| Mid Level | 3% |
| Senior Level | 3% |
| Top Level | 1% |
| Experienced | 0% |
Salaries in the United States can vary significantly from state to state due to a multitude of factors, including cost of living, local economic conditions, and industry presence.
For example, as of April 01, 2025, the average yearly salary of Data Architect - Consultant is $178,230 in California and in Massachusetts, the average annual salary goes to $175,860. While in New Jersey, a Data Architect - Consultant earns $175,150 per year.
What Am I Worth?
Salaries in the United States can vary significantly from city to city due to a multitude of factors, including cost of living, local economic conditions, and industry presence.
For example, as of April 01, 2025, the average yearly salary of Data Architect - Consultant in San Francisco, CA is $201,810 and in New York, NY, the average annual salary goes to $187,270. While a Data Architect - Consultant earns $180,220 per year in Boston, MA.
For those exploring the changing dynamics of Data Architect - Consultant salaries, Salary.com offers detailed insights through our Job Trending in CA Labor Market analysis. As of April 01, 2025, our research highlights a notable shift in Data Architect - Consultant compensation over the past six years. For instance, the median salary has moved from $161,867 in 2023 to about $164,172 in 2024 (for a comprehensive analysis of Data Architect - Consultant salary trends, click here). It's crucial to consider several elements, including geographical location, experience level, industry demand, and economic development, as they play a significant role in influencing salary variations.
Salary.com job board provides millions of Data Architect - Consultant information for you to search for. Click on search button below to see Data Architect - Consultant job openings or enter a new job title here.
Here are companies hiring for Data Architect - Consultant and their salaries, click below for more details.
| Core Compensation | ||||
| Core Compensation | Median | % of Total | ||
| Base Salary | $161,590 | 73.1% | ||
| Bonus | $0 | 0.0% | ||
| Value of Benefits | ||||
| Core Compensation | Median | % of Total | ||
| Social Security | $12,362 | 5.6% | ||
| 401K/403B | $6,787 | 3.1% | ||
| Disability | $3,232 | 1.5% | ||
| Healthcare | $8,352 | 3.8% | ||
| Pension | $8,726 | 3.9% | ||
| Time Off | $19,888 | 9.0% | ||
| Total Compensation | $220,936 | 100% | ||
| Degree Level | % of user with this level of education |
|---|---|
| No Diploma | 0.4% |
| High School | 3.6% |
| Associates | 1.8% |
| Bachelors | 46.2% |
| Masters | 44.7% |
| Doctorate | 3.3% |
What Am I Worth?
The Data Architect - Consultant develops strategies for warehouse implementation, data acquisition and access, and data archiving and recovery. Designs and builds relational databases for data storage or processing. Being a Data Architect - Consultant may evaluate new data sources for adherence to the organization's quality standards and ease of integration. Builds data models and defines the structure, attributes and nomenclature of data elements. In addition, Data Architect - Consultant requires a bachelor's degree. Typically reports to a manager or head of a unit/department. Being a Data Architect - Consultant works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. Works autonomously. Goals are generally communicated in solution or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Working as a Data Architect - Consultant typically requires 10+ 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.
Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
Data Modeling: Data modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques.
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.
