Snowflake jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, Snowflake appears in 6,512 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning Snowflake, with demand down 53% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about Snowflake
+Is Snowflake in demand in 2026?
Yes. Snowflake appears in 6,512 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 53% vs the prior 4 weeks. Data Engineer accounts for the most postings mentioning Snowflake (20.4% of all postings mentioning Snowflake).
+What jobs require Snowflake?
According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning Snowflake are Analytics Engineering Director (55.0% of that role’s postings mention Snowflake), Enterprise Data Architect (40.0% of that role’s postings mention Snowflake), Business Intelligence Director (38.5% of that role’s postings mention Snowflake).
+What skills are commonly paired with Snowflake?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), Snowflake most often appears alongside SQL, Python, DBT, AWS, Databricks.
+Where is Snowflake most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring Snowflake are New York City, San Francisco, London, Toronto, Bengaluru, according to the Skillenai jobs index.
+How can I keep up with new Snowflake content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Snowflake alongside the jobs index. You can subscribe to a daily email digest of new Snowflake content from your Skillenai account.
Weekly job postings requiring Snowflake — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Roles most likely to require Snowflake
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Analytics Engineering Director | 11 | 55.0% |
| Enterprise Data Architect | 8 | 40.0% |
| Business Intelligence Director | 15 | 38.5% |
| Lead Data Engineer | 27 | 37.0% |
| Data Engineer Intern | 10 | 35.7% |
| Analytics Engineer | 260 | 35.2% |
| Data Product Owner | 11 | 34.4% |
| Data Engineering Lead | 22 | 30.6% |
| Data Developer | 6 | 30.0% |
| Data Solutions Architect | 6 | 28.6% |
Roles with the most Snowflake postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Engineer | 1,328 | 20.4% |
| Software Engineer | 595 | 9.1% |
| Data Analyst | 328 | 5.0% |
| Data Scientist | 280 | 4.3% |
| Analytics Engineer | 260 | 4.0% |
| Data Architect | 124 | 1.9% |
| Product Manager | 114 | 1.8% |
| Forward Deployed Engineer | 77 | 1.2% |
| Solutions Architect | 71 | 1.1% |
| Data Platform Engineer | 70 | 1.1% |
Top metros hiring for Snowflake
| Name | Postings | Share |
|---|---|---|
| New York City | 318 | 4.9% |
| San Francisco | 223 | 3.4% |
| London | 167 | 2.6% |
| Toronto | 124 | 1.9% |
| Bengaluru | 116 | 1.8% |
| Boston | 116 | 1.8% |
| Pune | 98 | 1.5% |
| Hyderabad | 94 | 1.4% |
| Berlin | 69 | 1.1% |
Skills commonly paired with Snowflake
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. 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 Snowflake by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Snowflake postings by all Snowflake 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).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- fb963c80e29a5477
- data_as_of
- 2026-09-28
- 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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