Data platforms jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-07, Data platforms appears in 691 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning Data platforms, with demand share up 3.3% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-07
Which roles want Data platforms?
Upload your resume and Skillenai will show which roles your Data platforms experience fits, which skills you already cover, and what is missing.
Prepare to discuss Data platforms in your interview
We’re building mock interviews informed by job postings and career profiles, to help you explain how you’ve used Data platforms.
Frequently asked questions about Data platforms
+Is Data platforms in demand in 2026?
Yes. Data platforms appears in 691 job postings indexed by Skillenai over the 90 days ending 2026-10-07. Product Manager accounts for the most postings mentioning Data platforms (13.2% of all postings mentioning Data platforms).
+What jobs require Data platforms?
According to the Skillenai jobs index over the 90 days ending 2026-10-07, among roles with at least 20 postings, the highest shares mentioning Data platforms are AI Enablement Specialist (15.0% of that role’s postings mention Data platforms), Sales Specialist (11.5% of that role’s postings mention Data platforms), Sales Director (10.7% of that role’s postings mention Data platforms).
+What skills are commonly paired with Data platforms?
Across job postings indexed by Skillenai (90 days ending 2026-10-07), Data platforms most often appears alongside data governance, Distributed systems, Python, APIs, AWS.
+Where is Data platforms most in demand?
As of 2026-10-07, the metro areas posting the most jobs requiring Data platforms are San Francisco, New York City, Bengaluru, London, Hyderabad, according to the Skillenai jobs index.
+How can I keep up with new Data platforms content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Data platforms alongside the jobs index. You can subscribe to a daily email digest of new Data platforms content from your Skillenai account.
+Which skills come before and after Data platforms?
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 platforms — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around Data platforms
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before Data platforms
Skills after Data platforms
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: API Products | 1 |
| Before: Indexing | 1 |
| Before: retrieval | 1 |
| Before: Data Mining | 1 |
| Before: python | 1 |
| Before: services design | 1 |
| Before: Wireless Carriers | 1 |
| Before: Data quality | 1 |
| After: AWS | 2 |
| After: snowflake | 2 |
| After: Azure | 1 |
| After: data solutions | 1 |
| After: ArcGIS | 1 |
| After: elasticsearch | 1 |
| After: ETL | 1 |
| After: cloud-based data platforms | 1 |
Roles most likely to require Data platforms
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| AI Enablement Specialist | 3 | 15.0% |
| Sales Specialist | 6 | 11.5% |
| Sales Director | 3 | 10.7% |
| AI Director | 2 | 9.5% |
| Quantitative Finance Analyst | 2 | 8.7% |
| Data Product Manager | 8 | 8.5% |
| AI Program Manager | 3 | 7.3% |
| AI Analyst | 2 | 6.5% |
| AI Tech Architect | 2 | 6.2% |
| Data Engineering Director | 4 | 5.7% |
Roles with the most Data platforms postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Product Manager | 91 | 13.2% |
| Software Engineer | 57 | 8.2% |
| Data Engineer | 28 | 4.1% |
| Solutions Architect | 20 | 2.9% |
| Technical Program Manager | 20 | 2.9% |
| Engineering Manager | 16 | 2.3% |
| Forward Deployed Engineer | 16 | 2.3% |
| Solution Architect | 15 | 2.2% |
| Data Architect | 11 | 1.6% |
| Enterprise Architect | 10 | 1.4% |
Top companies posting jobs requiring Data platforms
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Cisco | 29 |
| Databricks | 23 |
| OpenAI | 8 |
| Novartis | 8 |
| NielsenIQ | 7 |
| Gitlab | 7 |
| ServiceNow | 7 |
| JPMorgan Chase & Co. | 6 |
| Mastercard | 5 |
| GoMining | 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 platforms
| Name | Postings | Share |
|---|---|---|
| San Francisco | 29 | 4.2% |
| New York City | 27 | 3.9% |
| Bengaluru | 22 | 3.2% |
| London | 20 | 2.9% |
| Hyderabad | 11 | 1.6% |
| San Jose | 10 | 1.4% |
| Toronto | 9 | 1.3% |
| Austin | 7 | 1.0% |
| Paris | 6 | 0.9% |
Skills commonly paired with Data platforms
Get a daily email digest of new Data platforms content
Skillenai indexes news articles, blog posts, and research papers that mention Data platforms. Click below and we'll open a pre-filled daily digest — change the cadence to hourly or weekly if you prefer, then save. Free account required (~30 seconds).
Explore related pages
How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-07. 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 platforms by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Data platforms postings by all Data platforms 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 2,617 identified employers and covers 70% of earlier and 72% of latest indexed postings. Windows: 2026-06-09 to 2026-09-07 and 2026-07-07 to 2026-10-05 (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
- 765b67cba0e72ed8
- data_as_of
- 2026-10-07
- 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.
Skillenai for recruiters →