Salary for Senior-level / Expert Cloud Database Engineer during 2024

Salary details

The average senior-level / expert Cloud Database Engineer salary lies between USD 105,500 and USD 230,800 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: Dec. 22, 2024

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

The three most common job tag items assiciated with senior-level / expert Cloud Database Engineer job listings are SQL, AWS and Security. 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 | 42 jobs AWS | 42 jobs Security | 40 jobs PostgreSQL | 35 jobs Azure | 32 jobs Linux | 30 jobs Engineering | 28 jobs Architecture | 27 jobs Computer Science | 26 jobs MySQL | 25 jobs Oracle | 24 jobs Python | 21 jobs GCP | 19 jobs RDBMS | 18 jobs MongoDB | 15 jobs Kubernetes | 15 jobs Clustering | 15 jobs Testing | 14 jobs Terraform | 13 jobs MS SQL | 12 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Cloud Database Engineer job listings are Career development, Health care and Competitive pay. 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 | 18 jobs Health care | 17 jobs Competitive pay | 13 jobs Flex hours | 12 jobs Team events | 11 jobs Flex vacation | 9 jobs Equity / stock options | 8 jobs Startup environment | 7 jobs Insurance | 7 jobs Salary bonus | 6 jobs Wellness | 5 jobs Transparency | 5 jobs Medical leave | 5 jobs 401(k) matching | 2 jobs Unlimited paid time off | 2 jobs Gear | 1 jobs Conferences | 1 jobs Flexible spending account | 1 jobs Fertility benefits | 1 jobs

Salary Composition

The salary for a Senior-level or Expert Cloud Database Engineer in AI/ML/Data Science 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 10-20% of the salary. 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 giants in Silicon Valley might offer substantial stock options, while companies in other regions might focus more on cash bonuses.

Increasing Salary

To increase your salary from this position, consider pursuing leadership roles such as a Cloud Database Architect or a Director of Data Engineering. These roles often come with higher compensation due to increased responsibilities. Additionally, specializing in high-demand areas like AI-driven cloud solutions or big data analytics can make you more valuable. Networking within industry circles and attending relevant conferences can also open up opportunities for higher-paying positions. Continuous learning and staying updated with the latest technologies and trends in cloud computing and data science can further enhance your marketability.

Educational Requirements

Most Senior-level Cloud Database Engineer 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 research experience, which can be crucial for tackling complex problems in AI/ML and data science.

Helpful Certifications

Certifications can significantly bolster your credentials. Some of the most beneficial ones include:

• AWS Certified Solutions Architect: Demonstrates expertise in designing and deploying scalable systems on AWS.
• Google Professional Data Engineer: Validates your ability to design, build, and operationalize data processing systems.
• Microsoft Certified: Azure Database Administrator Associate: Focuses on managing and securing SQL databases on Azure.
• Certified Data Management Professional (CDMP): Offers a broad understanding of data management principles.

These certifications not only enhance your skills but also make you more attractive to potential employers.

Required Experience

Typically, a Senior-level Cloud Database Engineer is expected to have at least 7-10 years of experience in database management, cloud computing, and related fields. This experience should include hands-on work with cloud platforms like AWS, Azure, or Google Cloud, as well as proficiency in database technologies such as SQL, NoSQL, and data warehousing solutions. Experience in leading projects and teams is also highly valued.

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