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

As of 2026-10-09, ontologies appears in 193 job postings indexed by Skillenai over the past 90 days — Solution Architect has the most postings mentioning ontologies, with demand share down 6.5% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-09

Postings · last 90 days
193
Demand vs prior month
down 6.5% vs the prior 4 weeks
Top role · 8.3% of skill postings
Top hiring metro
Hyderabad

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Frequently asked questions about ontologies

+Is ontologies in demand in 2026?

Yes. ontologies appears in 193 job postings indexed by Skillenai over the 90 days ending 2026-10-09. Solution Architect accounts for the most postings mentioning ontologies (8.3% of all postings mentioning ontologies).

+What jobs require ontologies?

According to the Skillenai jobs index over the 90 days ending 2026-10-09, among roles with at least 20 postings, the highest shares mentioning ontologies are Data Modeler (22.2% of that role’s postings mention ontologies), Database Architect (7.1% of that role’s postings mention ontologies), IT Solution Architect (5.0% of that role’s postings mention ontologies).

+What skills are commonly paired with ontologies?

Across job postings indexed by Skillenai (90 days ending 2026-10-09), ontologies most often appears alongside knowledge graphs, Python, taxonomies, SQL, data governance.

+Where is ontologies most in demand?

As of 2026-10-09, the metro areas posting the most jobs requiring ontologies are Hyderabad, New York City, London, Amsterdam, Seattle, according to the Skillenai jobs index.

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

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

+Which skills come before and after ontologies?

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 ontologies — last 90 days

Career paths around ontologies

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before ontologies

Before ontologiesETL → ontologies: 1 observed employer moves with this skill pairReactJS → ontologies: 1 observed employer moves with this skill pairApache Airflow → ontologies: 1 observed employer moves with this skill pairAIX → ontologies: 1 observed employer moves with this skill pairRed Hat Linux → ontologies: 1 observed employer moves with this skill pairJenkins → ontologies: 1 observed employer moves with this skill pairterraform → ontologies: 1 observed employer moves with this skill pairHP-UX → ontologies: 1 observed employer moves with this skill pairontologiesETL: 1 movesETL1 movesReactJS: 1 movesReactJS1 movesApache Airflow: 1 movesApache Airflow1 movesAIX: 1 movesAIX1 movesRed Hat Linux: 1 movesRed Hat Linux1 movesJenkins: 1 movesJenkins1 movesterraform: 1 movesterraform1 movesHP-UX: 1 movesHP-UX1 moves

Skills after ontologies

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.

Observed connections and move counts
ConnectionMoves
Before: ETL1
Before: ReactJS1
Before: Apache Airflow1
Before: AIX1
Before: Red Hat Linux1
Before: Jenkins1
Before: terraform1
Before: HP-UX1

Roles most likely to require ontologies

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

RolePostings mentioning skill% of role postings mentioning skill
Data Modeler622.2%
Database Architect27.1%
IT Solution Architect15.0%
Data Business Analyst14.8%
Data Solutions Architect14.8%
Postdoctoral Researcher14.5%
Delivery Consultant14.2%
AI Intern14.0%
Computer Scientist13.8%
Product Management Director13.8%

Roles with the most ontologies postings

RolePostings mentioning skillShare of skill postings
Solution Architect168.3%
Software Engineer157.8%
Data Scientist147.3%
Data Engineer126.2%
Data Architect105.2%
Product Manager105.2%
Data Modeler63.1%
Forward Deployed Engineer63.1%
Systems Engineer63.1%
AI Engineer52.6%

Top companies posting jobs requiring ontologies

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

Top companies posting jobs requiring ontologies
CompanyPostings · 90 days
Roche19
Elsevier8
MSD8
Accenture7
Adyen5
Qualtrics5
CLERA4
Interchain4
Anduril3
Dropbox3

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 ontologies

NamePostingsShare
Hyderabad105.2%
New York City105.2%
London84.1%
Amsterdam52.6%
Seattle52.6%
Philadelphia42.1%
Ashville31.6%
Bengaluru31.6%
Bristol21.0%

Skills commonly paired with ontologies

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-09. 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 ontologies by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s ontologies postings by all ontologies 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 2,616 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
2460ec329382e735
data_as_of
2026-10-09
window_days
90
Hiring engineers who use ontologies?

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