Data Architect Salary in United States during 2022

💰 The median Data Architect Salary in United States during 2022 is USD 154,520

✏️ This salary info is based on 44 individual salaries reported during 2022

Submit your salary Download the data

Salary details

The average Data Architect salary lies between USD 135,000 and USD 195,400 in the United States. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Job title
Data Architect
Experience
all levels
Region
United States
Salary year
2022
Sample size
44
Top 10%
$ 235,000
Top 25%
$ 195,400
Median
$ 154,520
Bottom 25%
$ 135,000
Bottom 10%
$ 102,100

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated:

Salary trend

Top 20 Job Tags for Data Architect roles

The three most common job tag items assiciated with Data Architect job listings are Engineering, SQL and AWS. Below you find a list of the 20 most occuring job tags in 2022 and the number of open jobs that where associated with them during that period:

Engineering | 246 jobs SQL | 240 jobs AWS | 240 jobs Architecture | 208 jobs Python | 206 jobs Security | 189 jobs Data management | 188 jobs Azure | 180 jobs Big Data | 159 jobs ETL | 157 jobs Pipelines | 155 jobs Machine Learning | 138 jobs NoSQL | 130 jobs Agile | 130 jobs Spark | 125 jobs Redshift | 114 jobs Computer Science | 109 jobs Data strategy | 102 jobs Kafka | 100 jobs Business Intelligence | 100 jobs

Top 20 Job Perks/Benefits for Data Architect roles

The three most common job benefits and perks assiciated with Data Architect job listings are Career development, Health care and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2022 and the number of open jobs that where offering them during that period:

Career development | 307 jobs Health care | 147 jobs Flex hours | 142 jobs Startup environment | 119 jobs Team events | 101 jobs Flex vacation | 95 jobs Competitive pay | 75 jobs Equity / stock options | 68 jobs Parental leave | 67 jobs Insurance | 65 jobs Medical leave | 57 jobs Salary bonus | 50 jobs Wellness | 42 jobs 401(k) matching | 33 jobs Conferences | 28 jobs Fertility benefits | 28 jobs Fitness / gym | 23 jobs Unlimited paid time off | 19 jobs Home office stipend | 16 jobs Flexible spending account | 13 jobs

Salary Composition for Data Architects

The salary for a Data Architect in the United States typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the largest part of the total compensation package. Bonuses can vary significantly depending on the company's performance, individual performance, and industry standards. In tech-heavy regions like Silicon Valley, bonuses and stock options might be more substantial compared to other areas. In terms of industry, tech companies, financial services, and healthcare often offer higher compensation packages. Larger companies may provide more comprehensive benefits and bonuses, while smaller companies might offer higher base salaries to attract talent.

Steps to Increase Salary

To increase your salary from the current position, consider the following strategies:

  • Skill Enhancement: Continuously update your skills in emerging technologies such as cloud computing, big data analytics, and machine learning.
  • Advanced Education: Pursue advanced degrees or certifications that are relevant to your field.
  • Networking: Engage with professional networks and communities to learn about new opportunities and industry trends.
  • Leadership Roles: Seek leadership or managerial roles that come with higher responsibilities and compensation.
  • Industry Switch: Consider moving to industries that offer higher pay scales for data architects, such as finance or tech.

Educational Requirements

Most Data Architect positions require at least a bachelor's degree in computer science, information technology, or a related field. However, a master's degree or even a Ph.D. can be advantageous, especially for roles in research-intensive industries or for positions with a focus on advanced data analytics and machine learning.

Helpful Certifications

Certifications can significantly enhance your profile and demonstrate your expertise. Some valuable certifications for Data Architects include:

  • Certified Data Management Professional (CDMP)
  • AWS Certified Solutions Architect
  • Google Professional Data Engineer
  • Microsoft Certified: Azure Solutions Architect Expert
  • TOGAF (The Open Group Architecture Framework) Certification

These certifications can validate your skills in data management, cloud architecture, and enterprise architecture, making you a more competitive candidate.

Experience Requirements

Typically, a Data Architect role requires several years of experience in data management, database design, or a related field. Experience with data modeling, ETL processes, and data warehousing is often essential. Many employers look for candidates with 5-10 years of relevant experience, including some time in a leadership or senior technical role.

Related salaries

Data Architect @ $ 154,520 (global) Details
Data Architect @ $ 154,520 (global) - Senior-level / Expert Details
Data Architect @ $ 154,520 (United States) - Senior-level / Expert Details

Want to contribute?

📝 Submit your salary info

Enter your own salary data for the current or past work year. It's quite simple and doesn't take more than a minute to fill out.

Go to salary survey

📢 Share our salary survey

Share our "in-less-than-a-minute survey" with others working in the field of AI, ML, Data Science. The more data we have the better for everyone.

💾 Download the data

All collected information will be updated into a public dataset regularly and provided as a download free for anyone to use.

Go to download page

🚀 Search for jobs & talent

If you're thinking about a career change or want to hire fresh talent quickly check out the jobs page.

Go to frontpage

About this project

We collect salary information anonymously from professionals and employers all over the world and make it publicly available for anyone to use, share and play around with.

Our goal is to have open salary data for everyone. So newbies, experienced pros, hiring managers, recruiters and also startup founders or people wanting to switch careers can make better decisions.