Data Architect Salary in 2024

Salary details

The average Data Architect salary lies between USD 117,000 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.

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 Data Architect roles

The three most common job tag items assiciated with Data Architect job listings are Architecture, Engineering and Security. 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 | 2046 jobs Engineering | 1430 jobs Security | 1375 jobs SQL | 1335 jobs AWS | 1135 jobs Data management | 1092 jobs Azure | 1079 jobs Data governance | 1062 jobs Computer Science | 967 jobs ETL | 948 jobs Python | 897 jobs Pipelines | 806 jobs Data quality | 787 jobs Agile | 750 jobs Big Data | 728 jobs GCP | 646 jobs Machine Learning | 642 jobs Spark | 610 jobs Snowflake | 599 jobs Databricks | 593 jobs

Top 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 2024 and the number of open jobs that where offering them during that period:

Career development | 1397 jobs Health care | 878 jobs Flex hours | 681 jobs Competitive pay | 539 jobs Flex vacation | 387 jobs Insurance | 373 jobs Startup environment | 372 jobs Equity / stock options | 367 jobs Team events | 367 jobs Salary bonus | 326 jobs Parental leave | 322 jobs Medical leave | 285 jobs Wellness | 217 jobs 401(k) matching | 216 jobs Fitness / gym | 84 jobs Home office stipend | 75 jobs Transparency | 73 jobs Gear | 61 jobs Unlimited paid time off | 58 jobs Conferences | 56 jobs

Salary Composition

The salary for a Data Architect in AI/ML/Data Science typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually forms the bulk of the total compensation package. Performance bonuses can vary significantly depending on the company's success and individual performance, often ranging from 10% to 20% of the base salary. Additional remuneration, such as stock options, is more common in tech companies and startups, especially in regions like Silicon Valley. In larger corporations or financial institutions, profit-sharing or end-of-year bonuses might be more prevalent. The composition can also vary by region, with higher base salaries in tech hubs like San Francisco or New York, and by industry, with finance and tech sectors typically offering more lucrative packages.

Increasing Salary

To increase your salary further from a Data Architect position, consider pursuing leadership roles such as Chief Data Officer or Director of Data Science. These roles often come with higher compensation and more strategic responsibilities. Additionally, specializing in emerging technologies or methodologies, such as machine learning operations (MLOps) or data governance, 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 Data Architect roles 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. in data science, computer engineering, or a related discipline can be advantageous and sometimes necessary for more senior positions. Advanced degrees often provide a deeper understanding of complex data systems and analytical techniques, which are crucial for architecting data solutions in AI/ML environments.

Helpful Certifications

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

• Certified Data Management Professional (CDMP)
• Google Professional Data Engineer
• AWS Certified Solutions Architect
• Microsoft Certified: Azure Data Engineer Associate
• Cloudera Certified Data Professional

These certifications can validate your skills in data management, cloud platforms, and data engineering, making you a more competitive candidate.

Required Experience

Typically, a Data Architect role requires 5-10 years of experience in data management, data warehousing, or data engineering. Experience with database technologies, data modeling, and ETL processes is crucial. Additionally, familiarity with big data technologies like Hadoop, Spark, and cloud platforms such as AWS, Azure, or Google Cloud is often required. Experience in leading data projects and working with cross-functional teams can also be beneficial.

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