Salary for Senior-level / Expert Data Architect during 2023

💰 The median Salary for Senior-level / Expert Data Architect during 2023 is USD 162,000

✏️ This salary info is based on 180 individual salaries reported during 2023

Salary details

The average senior-level / expert Data Architect salary lies between USD 115,000 and USD 193,000 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: 2023

Sample size: 180

Top 10%: $ 222,000

Top 25%: $ 193,000

Median: $ 162,000

Bottom 25%: $ 115,000

Bottom 10%: $ 100,758

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

Last updated: Dec. 15, 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 Architecture, SQL and Engineering. Below you find a list of the 20 most occuring job tags in 2023 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 2023 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 such as health insurance, retirement contributions, and paid time off. The 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 like AI ethics, quantum computing, or advanced machine learning techniques 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)
Google Professional Data Engineer
AWS Certified Big Data – Specialty
Microsoft Certified: Azure Data Engineer Associate
Cloudera Certified Data Professional

These certifications can validate your skills in data management, cloud platforms, and big data technologies, 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 complex data systems, working with large datasets, and using various data management tools and technologies. Experience in leading teams and managing projects is also highly valued, as these roles often involve overseeing data architecture initiatives and collaborating with cross-functional teams.

Related salaries

Data Architect @ $ 155,000 (global) Details

Data Architect @ $ 137,500 (global) - Mid-level / Intermediate Details

Data Architect @ $ 140,000 (United States) - Mid-level / Intermediate Details

Data Architect @ $ 162,000 (United States) Details

Data Architect @ $ 168,100 (United States) - Senior-level / Expert Details

Data Architect @ $ 98,432 (United Kingdom) - Senior-level / Expert Details

Data Architect @ $ 92,280 (United Kingdom) Details

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