Data Platform Engineer jobs in 2026 — required skills, demand trends, and top hiring cities

As of 2026-10-14, Skillenai has indexed 309 job postings with the title “Data Platform Engineer” over the past 90 days. The skill mentioned most often is Python, with demand share up 6.5% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-14

Postings · last 90 days
309
Demand vs prior month
up 6.5% vs the prior 4 weeks
Most-required skill
Top hiring metro
Bengaluru

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Frequently asked questions about Data Platform Engineer jobs

+How many Data Platform Engineer jobs are being posted in 2026?

Skillenai has indexed 309 job postings with the title “Data Platform Engineer” over the 90 days ending 2026-10-14.

+What skills do Data Platform Engineer jobs require?

Across Data Platform Engineer postings indexed by Skillenai over the 90 days ending 2026-10-14, the skills mentioned most often are Python, SQL, CI/CD, Terraform, Kafka.

+Which cities are hiring the most Data Platform Engineer?

As of 2026-10-14, Data Platform Engineer postings indexed by Skillenai are concentrated in Bengaluru, New York City, London, Berlin, San Diego.

+Is Data Platform Engineer a good career path right now?

Skillenai indexes 309 Data Platform Engineer postings over the 90 days ending 2026-10-14. The skill mentioned most often in Data Platform Engineer postings is Python, so building it gives the strongest signal that an applicant matches the role.

+How can I track new Data Platform Engineer job postings as they’re indexed?

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+What roles do people move into and out of Data Platform Engineer?

The career-flow chart shows roles before and after observed employer changes across all locations. Counts are moves, not distinct people or promotion probabilities. Same-role moves to another employer are included. The incoming and outgoing sides are separate groups of observations, not a matched three-stage journey.

Weekly indexed Data Platform Engineer postings — last 90 days

Career paths through Data Platform Engineer

Different-role employer moves. Each side is scaled independently.

Historical career profiles · all locations

6 employer moves kept the same role.

Roles before Data Platform Engineer

Before Data Platform EngineerData Engineer → Data Platform Engineer: 10 observed employer movesSoftware Engineer → Data Platform Engineer: 6 observed employer movesData Analyst → Data Platform Engineer: 4 observed employer movesBusiness Intelligence Analyst → Data Platform Engineer: 2 observed employer movesData Scientist → Data Platform Engineer: 2 observed employer movesDatabase Administrator → Data Platform Engineer: 2 observed employer movesCloud Engineer → Data Platform Engineer: 2 observed employer movesData PlatformEngineerData Engineer: 10 movesData Engineer10 movesSoftware Engineer: 6 movesSoftware Engineer6 movesData Analyst: 4 movesData Analyst4 movesBusiness Intelligence Analyst: 2 movesBusinessIntelligenceAnalyst2 movesData Scientist: 2 movesData Scientist2 movesDatabase Administrator: 2 movesDatabaseAdministrator2 movesCloud Engineer: 2 movesCloud Engineer2 moves

Roles after Data Platform Engineer

After Data Platform EngineerData Platform Engineer → Data Engineer: 7 observed employer movesData Platform Engineer → Data Scientist: 2 observed employer movesData Platform Engineer → Database Administrator: 1 observed employer movesData Platform Engineer → Cloud Engineer: 1 observed employer movesData Platform Engineer → DataOps Engineer: 1 observed employer movesData Platform Engineer → ML Ops Engineer: 1 observed employer movesData Platform Engineer → Instructor: 1 observed employer movesData PlatformEngineerData Engineer: 7 movesData Engineer7 movesData Scientist: 2 movesData Scientist2 movesDatabase Administrator: 1 movesDatabaseAdministrator1 movesCloud Engineer: 1 movesCloud Engineer1 movesDataOps Engineer: 1 movesDataOps Engineer1 movesML Ops Engineer: 1 movesML Ops Engineer1 movesInstructor: 1 movesInstructor1 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.

Same role means a change of employer while keeping the same role. Counts are moves, not distinct people, promotions, or your chances of making a particular move.

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: Data Engineer10
Before: Software Engineer6
Before: Data Platform Engineer (different employer)6
Before: Data Analyst4
Before: Business Intelligence Analyst2
Before: Data Scientist2
Before: Database Administrator2
Before: Cloud Engineer2
After: Data Engineer7
After: Data Platform Engineer (different employer)6
After: Data Scientist2
After: Database Administrator1
After: Cloud Engineer1
After: DataOps Engineer1
After: ML Ops Engineer1
After: Instructor1

Skills most often required for Data Platform Engineer

NamePostingsShare
Python16854.4%
SQL11236.2%
CI/CD10233.0%
Terraform8627.8%
Kafka7724.9%
Snowflake7423.9%
Kubernetes7223.3%
AWS7223.3%
data modeling6019.4%
DBT5718.4%
Airflow5417.5%
observability5317.2%
Databricks5216.8%
Spark4815.5%
data governance4715.2%

Top companies posting Data Platform Engineer jobs

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

Top companies posting Data Platform Engineer jobs
CompanyPostings · 90 days
Accenture25
Vercel8
ServiceNow7
Software Mind5
Experian5
Betsson Group4
Paxos3
Adyen3
PrizePicks3
Mirantis3

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 Data Platform Engineer

NamePostingsShare
Bengaluru123.9%
New York City123.9%
London103.2%
Berlin82.6%
San Diego82.6%
Boston72.3%
San Francisco61.9%
Toronto61.9%
Amsterdam41.3%

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-14, matching postings whose canonical role is “Data Platform Engineer”. Pages refresh weekly (or daily for the top-50 most-posted roles). 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 2,614 identified employers and covers 71% of earlier and 72% of latest indexed postings. Windows: 2026-06-16 to 2026-09-14 and 2026-07-14 to 2026-10-12 (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.

role
Data Platform Engineer
source
Skillenai jobs index, deduplicated daily
data_as_of
2026-10-14
window_days
90
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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