Salary for Senior-level / Expert Data Architect during 2022

💰 The median Salary for Senior-level / Expert Data Architect during 2022 is USD 154,520

✏️ This salary info is based on 46 individual salaries reported during 2022

Salary details

The average senior-level / expert 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: Senior-level / Expert

Region: global/worldwide

Salary year: 2022

Sample size: 46

Top 10%: $ 235,000

Top 25%: $ 195,400

Median: $ 154,520

Bottom 25%: $ 135,000

Bottom 10%: $ 90,700

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 17, 2024

Salary trend

Top 20 Job Tags for Senior-level / Expert Data Architect roles

The three most common job tag items assiciated with senior-level / expert 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:

Top 20 Job Perks/Benefits for Senior-level / Expert Data Architect roles

The three most common job benefits and perks assiciated with senior-level / expert 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:

Salary Composition

The salary for a Senior-level or Expert Data Architect in AI/ML/Data Science typically comprises several components. The fixed base salary is the largest portion, often accounting for 70-80% of the total compensation package. Bonuses, which can be performance-based or tied to company profits, usually make up 10-20% of the salary. Additional remuneration might include stock options, especially in tech companies, and other benefits like health insurance, retirement contributions, and paid time off. The exact composition can vary significantly depending on the region, industry, and company size. For instance, tech giants in Silicon Valley might offer substantial stock options, while companies in other regions might focus more on cash bonuses.

Increasing Salary

To increase your salary from this position, consider pursuing leadership roles such as Chief Data Officer or Head of Data Science. These roles often come with higher compensation packages. Additionally, specializing in emerging technologies or methodologies within AI/ML can make you more valuable. Networking within industry circles and attending conferences can also open up opportunities for higher-paying roles. Finally, consider negotiating your salary during performance reviews or when taking on additional responsibilities.

Educational Requirements

Most Senior-level Data Architect positions require at least a bachelor's degree in computer science, data science, information technology, or a related field. However, a master's degree or Ph.D. is often preferred, especially for roles in research-intensive industries or academia. Advanced degrees can provide a deeper understanding of complex data systems and algorithms, which is crucial for high-level data architecture roles.

Helpful Certifications

Certifications can enhance your credentials and demonstrate expertise in specific areas. Some valuable certifications include:

Certified Data Management Professional (CDMP)
AWS Certified Big Data – Specialty
Google Professional Data Engineer
Microsoft Certified: Azure Data Engineer Associate

These certifications can validate your skills in data management, cloud computing, and data engineering, making you more competitive in the job market.

Required Experience

Typically, a Senior-level Data Architect role requires at least 8-10 years of experience in data architecture, data engineering, or related fields. This experience should include designing and implementing data solutions, managing data teams, and working with large-scale data systems. Experience in specific industries, such as finance or healthcare, can also be beneficial, as it provides domain-specific knowledge that can be crucial for certain roles.

Related salaries

Data Architect @ $ 154,520 (global) Details

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

Data Architect @ $ 154,520 (United States) Details

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