Salary for Mid-level / Intermediate Data Architect during 2024
💰 The median Salary for Mid-level / Intermediate Data Architect during 2024 is USD 129,000
✏️ This salary info is based on 8 individual salaries reported during 2024
Salary details
The average mid-level / intermediate Data Architect salary lies between USD 55,328 and USD 143,000 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
- Mid-level / Intermediate
- Region
- global/worldwide
- Salary year
- 2024
- Sample size
- 8
- Top 10%
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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 Mid-level / Intermediate Data Architect roles
The three most common job tag items assiciated with mid-level / intermediate Data Architect job listings are Architecture, Data management and Engineering. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:
Architecture | 39 jobs Data management | 31 jobs Engineering | 27 jobs Security | 25 jobs Computer Science | 25 jobs SQL | 20 jobs Data governance | 20 jobs Big Data | 18 jobs Data quality | 17 jobs Python | 16 jobs AWS | 16 jobs Data Warehousing | 15 jobs Azure | 15 jobs ETL | 13 jobs Machine Learning | 11 jobs Agile | 11 jobs Spark | 10 jobs Data strategy | 10 jobs Mathematics | 9 jobs Java | 9 jobsTop 20 Job Perks/Benefits for Mid-level / Intermediate Data Architect roles
The three most common job benefits and perks assiciated with mid-level / intermediate 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 2024 and the number of open jobs that where offering them during that period:
Career development | 17 jobs Health care | 10 jobs Flex hours | 9 jobs Equity / stock options | 7 jobs Startup environment | 7 jobs Team events | 6 jobs Competitive pay | 5 jobs Conferences | 5 jobs Insurance | 5 jobs Wellness | 4 jobs Salary bonus | 3 jobs Fertility benefits | 3 jobs 401(k) matching | 2 jobs Parental leave | 2 jobs Flex vacation | 2 jobs Travel | 1 jobs Gear | 1 jobs Relocation support | 1 jobs Medical leave | 1 jobsSalary Composition
The salary for a Mid-level/Intermediate Data Architect 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 contrast, companies in the finance sector might offer higher base salaries but smaller bonuses. Company size also plays a role; larger companies often provide more comprehensive benefits packages, including health insurance, retirement plans, and sometimes educational reimbursements.
Increasing Salary
To increase your salary from a Mid-level Data Architect position, consider pursuing advanced certifications or further education, such as a master's degree in data science or a related field. Gaining expertise in emerging technologies like AI, machine learning, or cloud computing can make you more valuable. Networking within industry groups and attending conferences can also open up opportunities for higher-paying roles. Additionally, taking on leadership roles or projects that demonstrate your ability to drive business value can position you for promotions or salary negotiations.
Educational Requirements
Most Mid-level Data Architect positions require at least a bachelor's degree in computer science, information technology, data science, or a related field. Some employers may prefer candidates with a master's degree, especially for roles that involve complex data systems or strategic planning. A strong foundation in mathematics, statistics, and computer programming is essential, as these skills are critical for designing and managing data architectures.
Helpful Certifications
Certifications can enhance your qualifications and demonstrate your commitment to the field. Some valuable certifications include:
- Certified Data Management Professional (CDMP)
- AWS Certified Solutions Architect
- Google Professional Data Engineer
- Microsoft Certified: Azure Data Engineer Associate
- Cloudera Certified Data Professional
These certifications can validate your skills in specific technologies and platforms, making you more attractive to potential employers.
Required Experience
Typically, a Mid-level Data Architect should have 3-5 years of experience in data management, data modeling, or a related field. Experience with database technologies, data warehousing, and ETL processes is often required. Familiarity with big data technologies like Hadoop or Spark, as well as cloud platforms such as AWS, Azure, or Google Cloud, is increasingly important. Experience in a specific industry, such as finance, healthcare, or retail, can also be beneficial, as it provides context for data architecture within that sector.
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