Data Architect Salary in United States during 2024

Salary details

The average Data Architect salary lies between USD 122,200 and USD 198,600 in the United States. 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.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Jan. 26, 2025

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 | 2040 jobs Engineering | 1429 jobs Security | 1395 jobs SQL | 1352 jobs AWS | 1135 jobs Azure | 1097 jobs Data management | 1093 jobs Data governance | 1082 jobs Computer Science | 975 jobs ETL | 958 jobs Python | 903 jobs Pipelines | 820 jobs Data quality | 801 jobs Agile | 748 jobs Big Data | 727 jobs GCP | 656 jobs Machine Learning | 633 jobs Spark | 611 jobs Snowflake | 603 jobs Databricks | 601 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 | 1403 jobs Health care | 878 jobs Flex hours | 686 jobs Competitive pay | 533 jobs Flex vacation | 391 jobs Insurance | 380 jobs Startup environment | 366 jobs Equity / stock options | 365 jobs Team events | 365 jobs Salary bonus | 329 jobs Parental leave | 326 jobs Medical leave | 290 jobs 401(k) matching | 222 jobs Wellness | 202 jobs Fitness / gym | 85 jobs Home office stipend | 75 jobs Transparency | 73 jobs Gear | 61 jobs Unlimited paid time off | 60 jobs Conferences | 56 jobs

Salary Composition for a Data Architect in AI/ML/Data Science

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 benefits. The base salary is often the largest component, accounting for approximately 70-80% of the total compensation package. Performance bonuses can vary significantly, ranging from 10-20% of the base salary, depending on individual and company performance. Additional remuneration, such as stock options, profit-sharing, or other benefits, can make up the remaining 5-10%.

Regional differences can influence these percentages. For instance, in tech hubs like Silicon Valley or New York City, the base salary might be higher, but the cost of living adjustments and competitive market can lead to more substantial bonuses and stock options. Industry also plays a role; tech companies might offer more in stock options, while financial services might provide higher cash bonuses. Company size can affect the package as well, with larger companies often providing more comprehensive benefits and smaller companies offering more equity-based compensation.

Steps to Increase Salary from a Data Architect Position

To increase your salary from a Data Architect position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies and methodologies in AI/ML and data science. Specializing in niche areas like deep learning, natural language processing, or big data analytics can make you more valuable.

• Advanced Education: Pursuing further education, such as a master's or Ph.D. in a related field, can open doors to higher-paying roles.

• Leadership Roles: Transitioning into leadership or managerial roles, such as a Chief Data Officer or Head of Data Science, can significantly increase your earning potential.

• Networking and Industry Engagement: Actively participate in industry conferences, workshops, and seminars to build a strong professional network. This can lead to opportunities in higher-paying companies or roles.

• Negotiation Skills: Improve your negotiation skills to better advocate for higher pay during performance reviews or when switching jobs.

Educational Requirements for a Data Architect Role

Most Data Architect positions require at least a bachelor's degree in computer science, information technology, data science, or a related field. However, a master's degree is often preferred, especially for roles in AI/ML and data science. Advanced degrees provide a deeper understanding of complex data systems and analytical techniques, which are crucial for designing and managing data architectures.

Helpful Certifications for Data Architects

Certifications can enhance your credibility and demonstrate your expertise. Some valuable certifications include:

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

These certifications validate your skills in data management, cloud architecture, and data engineering, which are essential for a Data Architect role.

Experience Required for a Data Architect Position

Typically, a Data Architect role requires 5-10 years of experience in data management, data warehousing, or a related field. Experience in designing and implementing complex data systems, as well as proficiency in data modeling, database design, and data integration, is crucial. Experience with cloud platforms and big data technologies is increasingly important in AI/ML and data science roles.

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