Salary for Mid-level / Intermediate Data Architect during 2023

Salary details

The average mid-level / intermediate Data Architect salary lies between USD 106,500 and USD 150,000 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, Azure and SQL. 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 | 63 jobs Azure | 44 jobs SQL | 38 jobs Engineering | 38 jobs Security | 37 jobs AWS | 35 jobs Data governance | 35 jobs Data management | 33 jobs Python | 28 jobs Computer Science | 28 jobs Spark | 27 jobs ETL | 26 jobs Databricks | 24 jobs Machine Learning | 21 jobs Data quality | 21 jobs Agile | 20 jobs Data warehouse | 20 jobs Snowflake | 19 jobs Pipelines | 19 jobs Big Data | 18 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 2023 and the number of open jobs that where offering them during that period:

Career development | 45 jobs Health care | 32 jobs Startup environment | 25 jobs Competitive pay | 19 jobs Flex hours | 16 jobs Flex vacation | 12 jobs Insurance | 12 jobs Salary bonus | 12 jobs Equity / stock options | 9 jobs Team events | 8 jobs Medical leave | 7 jobs 401(k) matching | 6 jobs Parental leave | 6 jobs Relocation support | 6 jobs Gear | 5 jobs Home office stipend | 4 jobs Lunch / meals | 3 jobs Wellness | 3 jobs Unlimited paid time off | 3 jobs Fitness / gym | 2 jobs

Salary Composition

The salary for a Mid-level/Intermediate Data Architect typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The composition can vary significantly based on region, industry, and company size. In tech hubs like Silicon Valley, the base salary might be higher, but bonuses and stock options can also form a substantial part of the total compensation package. In contrast, companies in regions with a lower cost of living might offer a smaller base salary but compensate with other benefits. Industries such as finance or healthcare may offer higher bonuses due to the critical nature of data management in these fields. Larger companies often provide more comprehensive benefits packages, including health insurance, retirement plans, and professional development opportunities.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in emerging technologies like cloud computing, big data analytics, and machine learning. Certifications in these areas can also be beneficial.
• Advanced Education: Pursuing a master's degree or specialized courses in data science or related fields can make you more competitive.
• Leadership Roles: Seek opportunities to lead projects or teams, which can position you for roles with greater responsibility and higher pay.
• Networking: Engage with professional networks and attend industry conferences to learn about new opportunities and trends.
• Negotiation: When offered a new position or during performance reviews, negotiate for higher pay based on your contributions and market research.

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 involving complex data systems or strategic planning. Coursework in database management, data modeling, and systems architecture is particularly relevant.

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

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

Required Experience

Typically, a Mid-level Data Architect should have 3-5 years of experience in data management, database design, or a related field. Experience with data modeling, ETL processes, and working with large datasets is often required. Familiarity with cloud platforms, data warehousing solutions, and data governance practices is also beneficial. Experience in specific industries can be advantageous, as it provides context for industry-specific data challenges.

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