Salary for Mid-level / Intermediate Cloud Database Administrator during 2024
💰 The median Salary for Mid-level / Intermediate Cloud Database Administrator during 2024 is USD 120,450
✏️ This salary info is based on 8 individual salaries reported during 2024
Salary details
The average mid-level / intermediate Cloud Database Administrator salary lies between USD 80,000 and USD 132,400 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.
- Job title
- Cloud Database Administrator
- Experience
- Mid-level / Intermediate
- Region
- global/worldwide
- Salary year
- 2024
- Sample size
- 8
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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- Bottom 10%
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All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated:Top 20 Job Tags for Mid-level / Intermediate Cloud Database Administrator roles
The three most common job tag items assiciated with mid-level / intermediate Cloud Database Administrator job listings are Oracle, Computer Science and SQL. 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:
Oracle | 7 jobs Computer Science | 6 jobs SQL | 5 jobs Security | 5 jobs AWS | 4 jobs PostgreSQL | 4 jobs Linux | 3 jobs MS SQL | 3 jobs Python | 2 jobs R | 2 jobs Open Source | 2 jobs Engineering | 2 jobs Azure | 2 jobs R&D | 2 jobs Data management | 2 jobs RDBMS | 2 jobs ETL | 1 jobs MongoDB | 1 jobs Redshift | 1 jobs MySQL | 1 jobsTop 20 Job Perks/Benefits for Mid-level / Intermediate Cloud Database Administrator roles
The three most common job benefits and perks assiciated with mid-level / intermediate Cloud Database Administrator job listings are Health care, Parental leave and Flex hours. 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:
Health care | 4 jobs Parental leave | 2 jobs Flex hours | 2 jobs Career development | 2 jobs Medical leave | 2 jobs Insurance | 2 jobs Salary bonus | 2 jobs Equity / stock options | 1 jobs Competitive pay | 1 jobs Team events | 1 jobs Flexible spending account | 1 jobs Fertility benefits | 1 jobsSalary Composition
The salary for a Mid-level/Intermediate Cloud Database Administrator in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The fixed base salary is the largest component, often accounting for 70-80% of the total compensation package. Performance bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the base salary. Additional remuneration, such as stock options, profit-sharing, or comprehensive benefits packages, can make up the remaining 5-10%.
Regional differences also play a significant role in salary composition. For instance, tech hubs like Silicon Valley or New York City may offer higher base salaries and more lucrative stock options compared to other regions. Industry-wise, tech companies and financial institutions often provide more competitive compensation packages than smaller startups or non-tech industries. Company size can also influence salary composition, with larger companies typically offering more structured bonus programs and additional benefits.
Increasing Salary
To increase your salary from this position, consider the following strategies:
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Skill Enhancement: Continuously update your skills in emerging technologies and tools relevant to AI/ML and cloud database management. Specializing in high-demand areas like machine learning algorithms, big data analytics, or cloud architecture can make you more valuable.
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Advanced Certifications: Obtain advanced certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Google Professional Data Engineer) or data science (e.g., Certified Data Professional).
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Networking and Professional Development: Engage in networking opportunities, attend industry conferences, and participate in professional organizations. Building a strong professional network can lead to new job opportunities and salary negotiations.
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Leadership Roles: Seek opportunities to take on leadership roles or manage projects. Demonstrating leadership skills can position you for promotions and salary increases.
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Negotiation Skills: Improve your negotiation skills to effectively advocate for higher compensation during performance reviews or when considering new job offers.
Educational Requirements
Most positions for a Mid-level/Intermediate Cloud Database Administrator in AI/ML/Data Science 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 analysis or machine learning tasks. A strong foundation in mathematics, statistics, and programming is essential, as these skills are critical for understanding and implementing AI/ML models and managing cloud databases.
Helpful Certifications
Several certifications can enhance your qualifications for this role:
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Cloud Certifications: AWS Certified Solutions Architect, Microsoft Certified: Azure Database Administrator Associate, Google Professional Data Engineer.
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Data Science Certifications: Certified Data Professional (CDP), SAS Certified Data Scientist, TensorFlow Developer Certificate.
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Database Certifications: Oracle Certified Professional, MySQL Database Administrator, Microsoft Certified: Azure Data Scientist Associate.
These certifications demonstrate your expertise in specific technologies and platforms, making you a more attractive candidate to potential employers.
Experience Requirements
Typically, a Mid-level/Intermediate Cloud Database Administrator role requires 3-5 years of experience in database management, cloud computing, or a related field. Experience with cloud platforms like AWS, Azure, or Google Cloud, as well as familiarity with database technologies such as SQL, NoSQL, and data warehousing solutions, is often expected. Practical experience in AI/ML projects, data modeling, and performance tuning can also be advantageous.
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