Data Architect Salary in 2023

Salary details

The average Data Architect salary lies between USD 115,000 and USD 190,000 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. 10, 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, 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:

Architecture | 567 jobs SQL | 412 jobs Engineering | 402 jobs AWS | 367 jobs Azure | 346 jobs Security | 343 jobs Python | 290 jobs Data governance | 275 jobs Data management | 270 jobs ETL | 234 jobs Big Data | 233 jobs Agile | 223 jobs Pipelines | 213 jobs Computer Science | 211 jobs Spark | 203 jobs Data quality | 197 jobs Consulting | 179 jobs GCP | 177 jobs Databricks | 172 jobs Data warehouse | 161 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 2023 and the number of open jobs that where offering them during that period:

Career development | 433 jobs Health care | 276 jobs Flex hours | 167 jobs Startup environment | 163 jobs Insurance | 127 jobs Competitive pay | 124 jobs Flex vacation | 114 jobs Team events | 110 jobs Equity / stock options | 108 jobs Salary bonus | 100 jobs Medical leave | 84 jobs 401(k) matching | 80 jobs Parental leave | 79 jobs Wellness | 66 jobs Home office stipend | 29 jobs Relocation support | 27 jobs Transparency | 26 jobs Fertility benefits | 26 jobs Unlimited paid time off | 24 jobs Gear | 22 jobs

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

The salary composition for a Data Architect in AI/ML/Data Science typically includes a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company and industry, usually accounting for 10% to 20% of the total salary. Additional remuneration, such as stock options, is more common in tech companies and startups, potentially making up 5% to 10% of the total package.

Regional differences also play a significant role. For instance, salaries in tech hubs like San Francisco or New York tend to be higher due to the cost of living and competitive job markets. Industry-wise, tech companies and financial services often offer higher compensation compared to sectors like healthcare or education. Larger companies may provide more comprehensive benefits and bonuses, while smaller companies might offer 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 such as cloud computing, big data analytics, and machine learning. Specializing in a niche area can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open up higher-paying opportunities.
• Leadership Roles: Transitioning into managerial or leadership roles can significantly boost your salary. This might involve leading a team of data architects or overseeing larger projects.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or industries.
• Certifications: Obtaining advanced certifications can demonstrate your expertise and commitment to the field, potentially leading to salary increases.

Educational Requirements for a Data Architect

Most Data Architect positions require at least a bachelor's degree in computer science, information technology, or a related field. However, a master's degree is often preferred, especially for roles in larger companies or more competitive markets. Relevant coursework typically includes database management, data modeling, systems analysis, and software engineering.

In addition to formal education, practical experience with data architecture tools and technologies is crucial. This might include proficiency in SQL, NoSQL databases, data warehousing solutions, and cloud platforms like AWS or Azure.

Helpful Certifications for Data Architects

Several certifications can enhance your qualifications as a Data Architect:

• Certified Data Management Professional (CDMP): Offered by DAMA International, this certification covers data management and governance.
• AWS Certified Solutions Architect: This certification is valuable for architects working with Amazon Web Services.
• Google Professional Data Engineer: This certification demonstrates expertise in designing and managing data solutions on Google Cloud.
• Microsoft Certified: Azure Solutions Architect Expert: Ideal for those working with Microsoft Azure.

These certifications not only validate your skills but also keep you updated with the latest industry standards and practices.

Experience Required for a Data Architect Role

Typically, a Data Architect role requires 5 to 10 years of experience in data management, database design, or a related field. Experience in roles such as data analyst, database administrator, or data engineer can be beneficial. Employers often look for candidates with a proven track record of designing and implementing data solutions, as well as experience with data modeling and architecture frameworks.

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