data residency jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, data residency appears in 241 job postings indexed by Skillenai over the past 90 days — Technical Product Manager has the most postings mentioning data residency.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about data residency
+Is data residency in demand in 2026?
Yes. data residency appears in 241 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Technical Product Manager accounts for the most postings mentioning data residency (26.6% of all postings mentioning data residency).
+What jobs require data residency?
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 residency are AI Transformation Lead (13.5% of that role’s postings mention data residency), Data Security Engineer (11.5% of that role’s postings mention data residency), Founding AI Engineer (9.5% of that role’s postings mention data residency).
+What skills are commonly paired with data residency?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), data residency most often appears alongside security, privacy, System design, scalability, reconciliation.
+Where is data residency most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring data residency are San Francisco, New York City, London, El Segundo, Munich, according to the Skillenai jobs index.
+How can I keep up with new data residency content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning data residency alongside the jobs index. You can subscribe to a daily email digest of new data residency content from your Skillenai account.
+Which skills come before and after data residency?
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 residency — last 90 days
Career paths around data residency
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before data residency
Skills after data residency
No published outgoing skill pairs yet.
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.
| Connection | Moves |
|---|---|
| Before: SOC Audit | 1 |
| Before: SOX audit | 1 |
Roles most likely to require data residency
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| AI Transformation Lead | 7 | 13.5% |
| Data Security Engineer | 3 | 11.5% |
| Founding AI Engineer | 2 | 9.5% |
| Technical Product Manager | 64 | 6.3% |
| Platform Product Manager | 1 | 5.0% |
| Security Solutions Architect | 1 | 4.5% |
| Founding Product Engineer | 1 | 4.2% |
| Principal Architect | 2 | 2.4% |
| AI Deployment Strategist | 1 | 2.0% |
| IT Architect | 1 | 1.9% |
Roles with the most data residency postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Technical Product Manager | 64 | 26.6% |
| Product Manager | 30 | 12.4% |
| Software Engineer | 24 | 10.0% |
| Solutions Architect | 9 | 3.7% |
| AI Transformation Lead | 7 | 2.9% |
| Engineering Manager | 7 | 2.9% |
| Applied AI Engineer | 6 | 2.5% |
| Business Application Architect | 5 | 2.1% |
| Enterprise Application Architect | 5 | 2.1% |
| Infrastructure Engineer | 4 | 1.7% |
Top companies posting jobs requiring data residency
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Bjakcareer | 64 |
| CHAOS Industries | 13 |
| CLERA | 11 |
| Anthropic | 10 |
| Appfire | 6 |
| DeepL | 6 |
| 4 | |
| OpenAI | 4 |
| Ivo-inc | 4 |
| Clio | 4 |
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 residency
| Name | Postings | Share |
|---|---|---|
| San Francisco | 17 | 7.1% |
| New York City | 14 | 5.8% |
| London | 10 | 4.1% |
| El Segundo | 7 | 2.9% |
| Munich | 7 | 2.9% |
| Washington | 6 | 2.5% |
| Hong Kong | 4 | 1.7% |
| Seoul | 4 | 1.7% |
| Sydney | 4 | 1.7% |
Skills commonly paired with data residency
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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 residency by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data residency postings by all data residency 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). An adjusted trend is not shown because comparable posting coverage is insufficient.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 08dd9992ee00a8da
- data_as_of
- 2026-09-30
- window_days
- 90
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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