Salary for Senior-level / Expert Data Architect in United States during 2022

Salary details

The average senior-level / expert Data Architect salary lies between USD 135,000 and USD 195,400 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: Nov. 17, 2024

Salary trend

Top 20 Job Tags for Senior-level / Expert Data Architect roles

The three most common job tag items assiciated with senior-level / expert Data Architect job listings are Engineering, SQL and AWS. Below you find a list of the 20 most occuring job tags in 2022 and the number of open jobs that where associated with them during that period:

Engineering | 219 jobs SQL | 212 jobs AWS | 210 jobs Architecture | 189 jobs Data management | 177 jobs Python | 175 jobs Security | 166 jobs Azure | 159 jobs Big Data | 147 jobs ETL | 141 jobs Pipelines | 134 jobs Machine Learning | 116 jobs NoSQL | 115 jobs Agile | 114 jobs Spark | 111 jobs Redshift | 99 jobs Computer Science | 98 jobs Data strategy | 95 jobs Business Intelligence | 94 jobs Data Warehousing | 93 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Data Architect roles

The three most common job benefits and perks assiciated with senior-level / expert 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 2022 and the number of open jobs that where offering them during that period:

Career development | 278 jobs Health care | 130 jobs Flex hours | 125 jobs Startup environment | 112 jobs Team events | 88 jobs Flex vacation | 86 jobs Parental leave | 67 jobs Equity / stock options | 64 jobs Competitive pay | 62 jobs Insurance | 60 jobs Medical leave | 56 jobs Salary bonus | 44 jobs Wellness | 41 jobs 401(k) matching | 29 jobs Fertility benefits | 28 jobs Conferences | 27 jobs Fitness / gym | 22 jobs Unlimited paid time off | 15 jobs Home office stipend | 14 jobs Flexible spending account | 13 jobs

Salary Composition for Senior Data Architects

The salary for a Senior Data Architect in the United States 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 largest part of the total compensation package. Performance bonuses can vary significantly depending on the company's performance and individual contributions, often ranging from 10% to 20% of the base salary. Additional remuneration, such as stock options, is more common in tech companies and startups, providing long-term incentives aligned with company growth.

Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job markets. Industry-wise, tech companies, financial services, and healthcare often offer higher compensation packages compared to other sectors. Larger companies may provide more comprehensive benefits and bonuses, while smaller companies might offer more equity-based incentives.

Steps to Increase Salary

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

• Specialize in Emerging Technologies: Gaining expertise in cutting-edge technologies like AI, machine learning, or cloud computing can make you more valuable.
• Leadership Roles: Transitioning into leadership or managerial roles can lead to higher compensation.
• Industry Change: Moving to a higher-paying industry, such as finance or tech, can result in a salary increase.
• Negotiation Skills: Improving your negotiation skills can help you secure better compensation packages.
• Continuous Learning: Pursuing advanced certifications or further education can enhance your qualifications and salary prospects.

Educational Requirements

Most Senior Data Architect positions 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. can be advantageous, especially in competitive markets. Advanced degrees often provide deeper knowledge and skills that are highly valued in complex data environments.

Helpful Certifications

Certifications can bolster your credentials and demonstrate expertise. Some valuable certifications for a Senior Data Architect include:

• Certified Data Management Professional (CDMP)
• AWS Certified Solutions Architect
• Google Professional Data Engineer
• Microsoft Certified: Azure Solutions Architect Expert
• TOGAF (The Open Group Architecture Framework) Certification

These certifications can validate your skills in data architecture, cloud solutions, and enterprise architecture, making you a more attractive candidate.

Required Experience

Typically, a Senior Data Architect role requires 8-10 years of experience in data management, data architecture, or related fields. Experience with data modeling, database design, and data warehousing is crucial. Additionally, experience in leading projects and teams, as well as a strong understanding of business processes and data governance, is often required.

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