Salary for Senior-level / Expert Cloud Database Administrator in United States during 2024

Salary details

The average senior-level / expert Cloud Database Administrator salary lies between USD 118,150 and USD 194,688 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: Dec. 15, 2024

Top 20 Job Tags for Senior-level / Expert Cloud Database Administrator roles

The three most common job tag items assiciated with senior-level / expert Cloud Database Administrator job listings are SQL, PostgreSQL and AWS. 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:

SQL | 21 jobs PostgreSQL | 19 jobs AWS | 18 jobs Security | 16 jobs Azure | 13 jobs Oracle | 12 jobs Engineering | 11 jobs Computer Science | 11 jobs Terraform | 10 jobs Linux | 9 jobs Privacy | 9 jobs Python | 8 jobs NoSQL | 8 jobs DevOps | 8 jobs MongoDB | 6 jobs MySQL | 6 jobs GCP | 6 jobs Agile | 6 jobs CI/CD | 6 jobs Cassandra | 5 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Cloud Database Administrator roles

The three most common job benefits and perks assiciated with senior-level / expert Cloud Database Administrator job listings are Career development, Startup environment and Equity / stock options. 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 | 13 jobs Startup environment | 8 jobs Equity / stock options | 7 jobs Health care | 7 jobs Insurance | 7 jobs Competitive pay | 6 jobs Flex hours | 5 jobs Medical leave | 3 jobs Fitness / gym | 2 jobs Team events | 2 jobs Salary bonus | 2 jobs 401(k) matching | 1 jobs Parental leave | 1 jobs Flex vacation | 1 jobs Relocation support | 1 jobs Flexible spending account | 1 jobs Fertility benefits | 1 jobs

Salary Composition

In the United States, the salary composition for a Senior-level or Expert Cloud Database Administrator in AI/ML/Data Science typically includes a mix of base salary, bonuses, and additional remuneration. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Bonuses can vary significantly depending on the company’s performance, individual performance, and industry standards. In tech-heavy regions like Silicon Valley, bonuses might be more substantial compared to other areas. Additional remuneration can include stock options, profit-sharing, and other incentives, which are more common in larger tech companies or startups. The industry also plays a role; for instance, finance and tech industries might offer higher bonuses compared to non-profit or educational sectors. Company size can influence the compensation structure, with larger companies often providing more comprehensive benefits and stock options.

Increasing Salary

To increase your salary further from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies and tools in AI/ML and cloud computing. Specializing in niche areas can make you more valuable.
• Advanced Certifications: Obtain advanced certifications in cloud platforms (like AWS, Azure, or Google Cloud) or in AI/ML to demonstrate expertise.
• Leadership Roles: Transition into leadership or managerial roles, which often come with higher pay.
• Networking: Build a strong professional network to learn about higher-paying opportunities and to gain insights into industry trends.
• Negotiation: Improve your negotiation skills to better advocate for higher pay during performance reviews or when switching jobs.

Educational Requirements

Most Senior-level Cloud Database Administrator roles in AI/ML/Data Science 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 or for roles that require deep expertise in AI/ML. Advanced degrees can also provide a broader understanding of data science principles and methodologies, which is beneficial for strategic decision-making.

Helpful Certifications

Certifications can significantly enhance your profile. Some common and helpful certifications include:

• AWS Certified Database - Specialty
• Google Professional Data Engineer
• Microsoft Certified: Azure Database Administrator Associate
• Certified Data Management Professional (CDMP)
• Certified Cloud Security Professional (CCSP)

These certifications validate your skills and knowledge in managing cloud databases and can make you more attractive to potential employers.

Experience Requirements

Typically, a Senior-level Cloud Database Administrator is expected to have at least 5-10 years of experience in database management, with a significant portion of that time spent working with cloud technologies. Experience in AI/ML projects, data modeling, and performance tuning is often required. Employers look for candidates who have a proven track record of managing complex database systems and who can demonstrate their ability to optimize and secure data environments.

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