data protection jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-30, data protection appears in 822 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning data protection, with demand share down 1.2% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
822
Demand vs prior month
down 1.2% vs the prior 4 weeks
Top role · 5.4% of skill postings
Top hiring metro
London

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Frequently asked questions about data protection

+Is data protection in demand in 2026?

Yes. data protection appears in 822 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning data protection (5.4% of all postings mentioning data protection).

+What jobs require data protection?

According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning data protection are Sales Systems Engineer (71.4% of that role’s postings mention data protection), AI Security Specialist (33.3% of that role’s postings mention data protection), Enterprise Security Engineer (26.5% of that role’s postings mention data protection).

+What skills are commonly paired with data protection?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), data protection most often appears alongside AWS, Cloud Security, incident response, threat modeling, Python.

+Where is data protection most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring data protection are London, Bengaluru, New York City, San Francisco, San Jose, according to the Skillenai jobs index.

+How can I keep up with new data protection content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning data protection alongside the jobs index. You can subscribe to a daily email digest of new data protection content from your Skillenai account.

+Which skills come before and after data protection?

The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.

Weekly indexed postings requiring data protection — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Career paths around data protection

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before data protection

Before data protectionPower BI → data protection: 2 observed employer moves with this skill pairCSS → data protection: 2 observed employer moves with this skill pairJavaScript → data protection: 2 observed employer moves with this skill pairHTML → data protection: 2 observed employer moves with this skill pairVulnerability Management → data protection: 1 observed employer moves with this skill pairvideo security → data protection: 1 observed employer moves with this skill pairbenevolent → data protection: 1 observed employer moves with this skill pairengineering → data protection: 1 observed employer moves with this skill pairdataprotectionPower BI: 2 movesPower BI2 movesCSS: 2 movesCSS2 movesJavaScript: 2 movesJavaScript2 movesHTML: 2 movesHTML2 movesVulnerability Management: 1 movesVulnerabilityManagement1 movesvideo security: 1 movesvideo security1 movesbenevolent: 1 movesbenevolent1 movesengineering: 1 movesengineering1 moves

Skills after data protection

After data protectiondata protection → AWS: 2 observed employer moves with this skill pairdata protection → python: 2 observed employer moves with this skill pairdata protection → Splunk: 2 observed employer moves with this skill pairdata protection → SOX: 2 observed employer moves with this skill pairdata protection → documentation: 2 observed employer moves with this skill pairdata protection → Agile: 2 observed employer moves with this skill pairdata protection → Azure: 2 observed employer moves with this skill pairdata protection → Migration assessment: 1 observed employer moves with this skill pairdataprotectionAWS: 2 movesAWS2 movespython: 2 movespython2 movesSplunk: 2 movesSplunk2 movesSOX: 2 movesSOX2 movesdocumentation: 2 movesdocumentation2 movesAgile: 2 movesAgile2 movesAzure: 2 movesAzure2 movesMigration assessment: 1 movesMigrationassessment1 moves
How to read this chart · view counts

Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.

The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.

Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.

Observed connections and move counts
ConnectionMoves
Before: Power BI2
Before: CSS2
Before: JavaScript2
Before: HTML2
Before: Vulnerability Management1
Before: video security1
Before: benevolent1
Before: engineering1
After: AWS2
After: python2
After: Splunk2
After: SOX2
After: documentation2
After: Agile2
After: Azure2
After: Migration assessment1

Roles most likely to require data protection

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
Sales Systems Engineer2071.4%
AI Security Specialist933.3%
Enterprise Security Engineer926.5%
Business Information Security Officer626.1%
Information Security Architect521.7%
Chief Information Security Officer1220.0%
AI Security Architect416.7%
Cybersecurity Director414.8%
Storage Architect313.0%
Information Security Intern412.9%

Roles with the most data protection postings

RolePostings mentioning skillShare of skill postings
Software Engineer445.4%
Product Manager313.8%
Security Engineer283.4%
Sales Systems Engineer202.4%
AI Security Engineer131.6%
Backend Engineer131.6%
Chief Information Security Officer121.5%
Solutions Architect121.5%
Cybersecurity Consultant111.3%
Product Security Engineer111.3%

Top companies posting jobs requiring data protection

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring data protection
CompanyPostings · 90 days
Veeam22
State Street17
Securiti15
Zscaler14
Commvault13
Cisco13
Sopra Steria11
PwC10
NetLimiter8
Capco7

Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.

Top metros hiring for data protection

NamePostingsShare
London323.9%
Bengaluru202.4%
New York City202.4%
San Francisco192.3%
San Jose172.1%
Chicago121.5%
Hyderabad111.3%
Singapore101.2%
Austin91.1%

Skills commonly paired with data protection

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning data protection by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data protection postings by all data protection postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). Adjusted posting share: 0.3% to 0.3%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,596 identified employers and covers 68% of earlier and 72% of latest indexed postings. Windows: 2026-06-02 to 2026-08-31 and 2026-06-30 to 2026-09-28 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.

source
Skillenai jobs index, deduplicated daily
entity_id
03a827fa73e10b8d
data_as_of
2026-09-30
window_days
90
Hiring engineers who use data protection?

The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.

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Compiled by Jared Rand · Data sourced from the Skillenai labor market index