data intelligence platform jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, data intelligence platform appears in 61 job postings indexed by Skillenai over the past 90 days — Field Engineering Manager has the most postings mentioning data intelligence platform.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about data intelligence platform
+Is data intelligence platform in demand in 2026?
Yes. data intelligence platform appears in 61 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Field Engineering Manager accounts for the most postings mentioning data intelligence platform (24.6% of all postings mentioning data intelligence platform).
+What jobs require data intelligence 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 intelligence platform are Field Engineering Manager (42.9% of that role’s postings mention data intelligence platform), Solutions Architect Manager (14.8% of that role’s postings mention data intelligence platform), Delivery Solutions Architect (7.8% of that role’s postings mention data intelligence platform).
+What skills are commonly paired with data intelligence platform?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), data intelligence platform most often appears alongside Apache Spark, Delta Lake, MLflow, Data engineering, data science.
+Where is data intelligence platform most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring data intelligence platform are New York City, Singapore, Mountain View, São Paulo, Chicago, according to the Skillenai jobs index.
+How can I keep up with new data intelligence platform content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning data intelligence platform alongside the jobs index. You can subscribe to a daily email digest of new data intelligence platform content from your Skillenai account.
+Which skills come before and after data intelligence 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 intelligence platform — last 90 days
Career paths around data intelligence platform
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before data intelligence platform
Skills after data intelligence platform
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: data flows | 1 |
| Before: CI/CD processes | 1 |
| Before: AWS | 1 |
| Before: Custom software solutions | 1 |
| Before: Design Patterns | 1 |
| Before: GCP | 1 |
| Before: micro-service architectures | 1 |
| Before: data lake solutions | 1 |
Roles most likely to require data intelligence platform
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Field Engineering Manager | 15 | 42.9% |
| Solutions Architect Manager | 4 | 14.8% |
| Delivery Solutions Architect | 4 | 7.8% |
| Associate Product Manager | 1 | 1.2% |
| Solutions Architect | 13 | 0.5% |
| Staff Engineer | 1 | 0.4% |
| Engineering Manager | 5 | 0.1% |
| Technical Program Manager | 1 | 0.0% |
| Machine Learning Engineer | 1 | 0.0% |
| AI Engineer | 1 | 0.0% |
Roles with the most data intelligence platform postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Field Engineering Manager | 15 | 24.6% |
| Solutions Architect | 13 | 21.3% |
| Engineering Manager | 5 | 8.2% |
| Delivery Solutions Architect | 4 | 6.6% |
| Solutions Architect Manager | 4 | 6.6% |
| Delivery Solutions Architect Manager | 3 | 4.9% |
| Field Technical Program Manager | 3 | 4.9% |
| Product Manager | 3 | 4.9% |
| Software Engineer | 3 | 4.9% |
| AI Engineer | 1 | 1.6% |
Top companies posting jobs requiring data intelligence platform
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Databricks | 58 |
| DDN | 1 |
| Actian | 1 |
| NCC Group | 1 |
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 intelligence platform
| Name | Postings | Share |
|---|---|---|
| New York City | 5 | 8.2% |
| Singapore | 5 | 8.2% |
| Mountain View | 4 | 6.6% |
| São Paulo | 4 | 6.6% |
| Chicago | 3 | 4.9% |
| Paris | 3 | 4.9% |
| Milan | 2 | 3.3% |
| San Francisco | 2 | 3.3% |
| Seattle | 2 | 3.3% |
Skills commonly paired with data intelligence 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 intelligence 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 intelligence platform postings by all data intelligence 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). An adjusted trend is not shown because comparable posting coverage is insufficient.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 829514ce35736a9c
- 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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