Salary for Mid-level / Intermediate Data Architect in United States during 2023

Salary details

The average mid-level / intermediate Data Architect salary lies between USD 106,500 and USD 150,000 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 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 in the United States typically comprises several components. The fixed base salary is the largest portion, often accounting for 70-80% of the total compensation package. Bonuses, which can be performance-based or tied to company profits, usually make up about 10-20%. Additional remuneration might include stock options, especially in tech companies, and other benefits like health insurance, retirement contributions, and paid time off. The exact composition can vary significantly depending on the region, industry, and company size. For instance, tech hubs like Silicon Valley or New York City might offer higher base salaries and stock options, while smaller companies might focus more on bonuses and flexible work arrangements.

Increasing Salary

To increase your salary from this position, consider pursuing advanced certifications or further education, such as a master's degree in data science or a related field. Gaining expertise in emerging technologies like machine learning, artificial intelligence, or cloud computing can also make you more valuable. Networking within industry groups and attending conferences can open up opportunities for higher-paying roles. Additionally, taking on leadership roles or projects that demonstrate your ability to drive business value can position you for promotions or salary negotiations.

Educational Requirements

Most Mid-level/Intermediate 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 that involve complex data systems or strategic planning. A strong foundation in mathematics, statistics, and computer programming is essential, as these skills are critical for designing and managing data architectures.

Helpful Certifications

Several certifications can enhance your qualifications for a Data Architect role. The Certified Data Management Professional (CDMP) is widely recognized and covers a broad range of data management skills. Certifications in specific technologies, such as AWS Certified Solutions Architect or Google Professional Data Engineer, can also be beneficial, especially if the company uses those platforms. Additionally, certifications in data governance or data security can be advantageous, given the increasing importance of data privacy and compliance.

Required Experience

Typically, a Mid-level/Intermediate Data Architect should have 3-5 years of experience in data management, data modeling, or a related field. Experience with database technologies, data warehousing, and ETL (Extract, Transform, Load) processes is often required. Familiarity with big data technologies like Hadoop or Spark can be a plus. Employers also look for experience in designing and implementing data architectures that support business objectives and scalability.

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