Salary for Mid-level / Intermediate Data Architect 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.

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 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 | 32 jobs Data management | 27 jobs Engineering | 21 jobs Computer Science | 20 jobs Security | 18 jobs Big Data | 16 jobs SQL | 15 jobs Data governance | 15 jobs AWS | 14 jobs Data quality | 13 jobs Azure | 12 jobs Python | 11 jobs Data Warehousing | 11 jobs ETL | 10 jobs Machine Learning | 9 jobs Data strategy | 9 jobs Agile | 9 jobs Mathematics | 8 jobs Java | 8 jobs Spark | 7 jobs

Top 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 Startup environment. 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 | 11 jobs Health care | 7 jobs Startup environment | 7 jobs Flex hours | 6 jobs Competitive pay | 4 jobs Team events | 4 jobs Equity / stock options | 3 jobs Wellness | 2 jobs Conferences | 2 jobs Insurance | 2 jobs Salary bonus | 2 jobs 401(k) matching | 1 jobs Parental leave | 1 jobs Flex vacation | 1 jobs Travel | 1 jobs Gear | 1 jobs Relocation support | 1 jobs Medical leave | 1 jobs Fertility benefits | 1 jobs

Salary 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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