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

As of 2026-09-30, Integration Patterns appears in 761 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning Integration Patterns, with demand share up 8.1% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
761
Demand vs prior month
up 8.1% vs the prior 4 weeks
Top role · 9.7% of skill postings
Top hiring metro
London

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Frequently asked questions about Integration Patterns

+Is Integration Patterns in demand in 2026?

Yes. Integration Patterns appears in 761 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning Integration Patterns (9.7% of all postings mentioning Integration Patterns).

+What jobs require Integration Patterns?

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 Integration Patterns are Success Architect (16.7% of that role’s postings mention Integration Patterns), Applied AI Architect (14.5% of that role’s postings mention Integration Patterns), Technical Solution Architect (14.3% of that role’s postings mention Integration Patterns).

+What skills are commonly paired with Integration Patterns?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), Integration Patterns most often appears alongside APIs, Python, enterprise architecture, data modeling, Java.

+Where is Integration Patterns most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring Integration Patterns are London, New York City, Bengaluru, Toronto, Dublin, according to the Skillenai jobs index.

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

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

+Which skills come before and after Integration Patterns?

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 Integration Patterns — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Career paths around Integration Patterns

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Integration Patterns

No published incoming skill pairs yet.

Skills after Integration Patterns

After Integration PatternsIntegration Patterns → Test Data Hub: 1 observed employer moves with this skill pairIntegration Patterns → ci/cd: 1 observed employer moves with this skill pairIntegration Patterns → AWS Lambda: 1 observed employer moves with this skill pairIntegration Patterns → Java EE: 1 observed employer moves with this skill pairIntegration Patterns → ReactJS: 1 observed employer moves with this skill pairIntegration Patterns → UX/UI: 1 observed employer moves with this skill pairIntegration Patterns → GitHub Actions: 1 observed employer moves with this skill pairIntegration Patterns → variance metrics: 1 observed employer moves with this skill pairIntegrationPatternsTest Data Hub: 1 movesTest Data Hub1 movesci/cd: 1 movesci/cd1 movesAWS Lambda: 1 movesAWS Lambda1 movesJava EE: 1 movesJava EE1 movesReactJS: 1 movesReactJS1 movesUX/UI: 1 movesUX/UI1 movesGitHub Actions: 1 movesGitHub Actions1 movesvariance metrics: 1 movesvariance metrics1 moves
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
After: Test Data Hub1
After: ci/cd1
After: AWS Lambda1
After: Java EE1
After: ReactJS1
After: UX/UI1
After: GitHub Actions1
After: variance metrics1

Roles most likely to require Integration Patterns

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

RolePostings mentioning skill% of role postings mentioning skill
Success Architect716.7%
Applied AI Architect1114.5%
Technical Solution Architect314.3%
Salesforce Solution Architect413.8%
Domain Architect511.9%
Analytics Engineering Director210.0%
Integration Developer29.5%
Enterprise Architect439.3%
Enterprise Solution Architect29.1%
Platform Architect87.9%

Roles with the most Integration Patterns postings

RolePostings mentioning skillShare of skill postings
Software Engineer749.7%
Solution Architect587.6%
Product Manager567.4%
Solutions Architect445.8%
Enterprise Architect435.7%
Forward Deployed Engineer364.7%
Technical Architect172.2%
Technical Product Manager152.0%
Engineering Manager131.7%
Applied AI Architect111.4%

Top companies posting jobs requiring Integration Patterns

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

Top companies posting jobs requiring Integration Patterns
CompanyPostings · 90 days
Airkit32
Salesforce24
Anthropic22
Celonis15
ServiceNow15
Mastercard12
SentinelOne9
JPMorgan Chase & Co.8
Twilio7
Allianz7

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 Integration Patterns

NamePostingsShare
London233.0%
New York City233.0%
Bengaluru192.5%
Toronto182.4%
Dublin172.2%
Seattle172.2%
Boston152.0%
San Francisco121.6%
Charlotte101.3%

Skills commonly paired with Integration Patterns

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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 Integration Patterns by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Integration Patterns postings by all Integration Patterns 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 2,596 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
8de407e2b239374e
data_as_of
2026-09-30
window_days
90
Hiring engineers who use Integration Patterns?

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