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Data Security Officer

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April 29, 2024 4 minute read

Data security officers (DSOs) play a critical role in today’s digital era, ensuring the confidentiality, integrity, and availability of sensitive data. As organizations become increasingly reliant on technology, the demand for skilled DSOs continues to grow. This career guide will provide you with a comprehensive overview of the DSO role, career path, and skills required to succeed in this field. Whether you’re a learner exploring career options, seeking to enhance your existing skill set, or considering part-time or full-time studies, this guide will empower you to make informed decisions about your future.

Responsibilities of a Data Security Officer

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Salaries for Data Security Officer

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$119,000

$150,000

$192,000

$150,000

San Francisco

$144,000

$162,000

$183,000

$162,000

Seattle

$142,000

$169,000

$198,000

$169,000

See all salaries

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$119,000

$150,000

$192,000

$150,000

San Francisco

$144,000

$162,000

$183,000

$162,000

Seattle

$142,000

$169,000

$198,000

$169,000

Austin

$136,000

$165,000

$225,000

$165,000

Toronto

$75,000

$90,000

$115,000

$90,000

London

£60,000

£83,000

£107,000

£83,000

Paris

€67,000

€76,000

€100,000

€76,000

Berlin

€63,000

€71,000

€84,000

€71,000

Tel Aviv

₪399,000

₪460,000

₪549,000

₪460,000

Singapore

S$123,000

S$145,000

S$169,000

S$145,000

Beijing

¥464,000

¥540,000

¥648,000

¥540,000

Shanghai

¥322,000

¥488,000

¥692,000

¥488,000

Bengalaru

₹1,100,000

₹1,470,000

₹1,820,000

₹1,470,000

Delhi

₹350,000

₹550,000

₹900,000

₹550,000

Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Data Security Officer

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We've curated one courses to help you on your path to Data Security Officer. Use these to develop your skills, build background knowledge, and put what you learn to practice.

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DataOps Methodology

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