Data platform jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, Data platform appears in 225 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning Data platform, with demand share down 0.3% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about Data platform
+Is Data platform in demand in 2026?
Yes. Data platform appears in 225 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Product Manager accounts for the most postings mentioning Data platform (14.2% of all postings mentioning Data platform).
+What jobs require Data platform?
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 platform are Product Management Director (13.0% of that role’s postings mention Data platform), IT Consultant (5.0% of that role’s postings mention Data platform), Principal Consultant (5.0% of that role’s postings mention Data platform).
+What skills are commonly paired with Data platform?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), Data platform most often appears alongside data governance, data quality, SQL, data pipelines, Data engineering.
+Where is Data platform most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring Data platform are London, New York City, Paris, Toronto, San Francisco, according to the Skillenai jobs index.
+How can I keep up with new Data platform content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Data platform alongside the jobs index. You can subscribe to a daily email digest of new Data platform content from your Skillenai account.
+Which skills come before and after Data platform?
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 platform — last 90 days
Career paths around Data platform
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before Data platform
Skills after Data platform
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: sql | 3 |
| Before: spark | 2 |
| Before: Hadoop | 2 |
| Before: Hive | 2 |
| Before: sketch | 1 |
| Before: data profiling | 1 |
| Before: datamodels | 1 |
| Before: ci/cd | 1 |
| After: ETL | 2 |
| After: Synapse | 2 |
| After: Kafka | 2 |
| After: databricks | 2 |
| After: Oozie | 2 |
| After: infrastructure | 1 |
| After: non-blocking responses | 1 |
| After: testing | 1 |
Roles most likely to require Data platform
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Product Management Director | 3 | 13.0% |
| IT Consultant | 1 | 5.0% |
| Principal Consultant | 1 | 5.0% |
| Data Engineering Director | 3 | 4.2% |
| Data Business Analyst | 1 | 4.2% |
| Data Consultant | 1 | 4.2% |
| Data Product Manager | 3 | 3.4% |
| Data Analytics Consultant | 1 | 2.8% |
| Data Analytics Lead | 1 | 2.6% |
| Product Director | 1 | 2.2% |
Roles with the most Data platform postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Product Manager | 32 | 14.2% |
| Software Engineer | 20 | 8.9% |
| Data Engineer | 18 | 8.0% |
| Engineering Manager | 10 | 4.4% |
| Data Analyst | 8 | 3.6% |
| Technical Program Manager | 8 | 3.6% |
| Data Architect | 7 | 3.1% |
| Data Scientist | 5 | 2.2% |
| Program Manager | 5 | 2.2% |
| Analytics Engineer | 4 | 1.8% |
Top companies posting jobs requiring Data platform
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Wayve | 6 |
| Wavestone | 6 |
| SpotOn | 5 |
| Cisco | 5 |
| Baringa | 4 |
| Veeam | 4 |
| Okta | 3 |
| Cognitive. | 3 |
| Doctolib | 3 |
| Bloomreach | 3 |
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 platform
| Name | Postings | Share |
|---|---|---|
| London | 14 | 6.2% |
| New York City | 14 | 6.2% |
| Paris | 8 | 3.6% |
| Toronto | 7 | 3.1% |
| San Francisco | 6 | 2.7% |
| Austin | 5 | 2.2% |
| San Mateo | 5 | 2.2% |
| Berlin | 4 | 1.8% |
| Sunnyvale | 4 | 1.8% |
Skills commonly paired with Data platform
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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 platform by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Data platform postings by all Data platform 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: 0.1% to 0.1%. 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 2,595 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
- 3983009fe6f57e65
- 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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