Data Architect Salary in 2022
💰 The median Data Architect Salary in 2022 is USD 154,520
✏️ This salary info is based on 46 individual salaries reported during 2022
Salary details
The average Data Architect salary lies between USD 135,000 and USD 195,400 globally. 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
- global/worldwide
- Salary year
- 2022
- Sample size
- 46
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- Top 25%
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- Median
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- Bottom 25%
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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 jobsTop 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 jobsSalary Composition
The salary for a Data Architect in AI/ML/Data Science 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 can be substantial, often making up a significant portion of the total compensation. In contrast, in regions with a lower cost of living, the base salary might be more dominant. Larger companies or those in high-demand industries like finance or tech often offer more competitive packages, including higher bonuses and stock options, compared to smaller companies or those in less competitive industries.
Increasing Salary
To increase your salary from a Data Architect position, consider pursuing advanced roles such as Senior Data Architect, Data Engineering Manager, or Chief Data Officer. These roles typically require a combination of technical expertise, leadership skills, and strategic vision. Additionally, specializing in high-demand areas like cloud architecture, big data technologies, or AI/ML can make you more valuable. Networking within industry circles, attending conferences, and contributing to open-source projects can also enhance your visibility and open up higher-paying opportunities. Negotiating your salary based on market research and your contributions to the company can also be effective.
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 cutting-edge AI/ML fields. Advanced degrees often provide deeper knowledge and research experience, which can be crucial for complex data architecture tasks. Additionally, coursework in data management, database systems, and software engineering is highly beneficial.
Helpful Certifications
Certifications can bolster your credentials and demonstrate your expertise to potential employers. 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
These certifications validate your skills in data management, cloud architecture, and data engineering, making you a more attractive candidate for higher-level positions.
Required Experience
Typically, a Data Architect role requires several years of experience in data management, data modeling, and database design. Experience in related roles such as data engineering, data analysis, or software development is also valuable. Employers often look for candidates with a proven track record of designing and implementing data solutions, as well as experience with relevant technologies and tools like SQL, NoSQL databases, ETL processes, and cloud platforms.
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