Updated August 17, 2026 · Compared across 10,564 active listings
Head-to-Head
| Metric | Snowflake | Databricks |
|---|---|---|
| Overall demand | 0.9% | 1.4% |
| 30-day trend | ↓ 0.0pp | ↓ 0.1pp |
| Listings count | 436 | 650 |
| Top category | Data & Analytics | Data & Analytics |
| Avg. salary | $135,900 | $118,300 |
Demand by Category
| Category | Snowflake | Databricks | Leader |
|---|---|---|---|
| Data & Analytics | 3.0% | 3.3% | Databricks |
| Software Engineering | 0.6% | 1.4% | Databricks |
| Product & Design | 0.7% | 1.5% | Databricks |
| DevOps & Infrastructure | 0.4% | 0.3% | Snowflake |
| Security | 0.3% | 0.5% | Databricks |
| AI & Machine Learning | 0.4% | 1.4% | Databricks |
Who Uses What?
Snowflake is dominant in: DevOps & Infrastructure
Databricks is dominant in: Data & Analytics, Software Engineering, Product & Design, Security, AI & Machine Learning
Trend Direction
Databricks has stronger overall momentum, appearing in 650 job listings against Snowflake's 436 and commanding 1.4% overall demand versus Snowflake's 0.9%. Databricks dominates in five job categories including AI & Machine Learning, where it reaches 1.4% demand compared to Snowflake's 0.4%. Both skills are softening slightly — Databricks slipped -0.1 percentage points and Snowflake held flat over the last 30 days — but Databricks starts from a higher base.
Often Used Together?
Snowflake and Databricks appear together in 20.0% of listings that mention either skill, signalling that employers frequently treat them as complementary rather than interchangeable. Knowing both strengthens a candidate's profile, particularly in Data & Analytics roles where Snowflake sits at 3.0% demand and Databricks at 3.3%.
Our Take
If you're targeting volume and breadth, Databricks is the stronger bet — 650 listings span Software Engineering, AI & Machine Learning and Security, giving you more paths into the job market. If salary is the priority, Snowflake's median compensation of $135,900 beats Databricks' $118,300 by $17,600, a meaningful gap. The smartest move for most data professionals is building working knowledge of both, given that one in five listings already asks for them together.
Frequently Asked Questions
Should I learn Snowflake or Databricks?
Should I learn Snowflake or Databricks? Databricks appears in more job listings (650 vs 436) and dominates more categories, making it the higher-volume choice for job seekers entering the market. Snowflake is the better pick if you're targeting DevOps & Infrastructure roles or want to maximise earning potential, with a median salary of $135,900. Learning both is increasingly practical given their 20.0% co-occurrence rate.
Which pays better — Snowflake or Databricks?
Which pays better — Snowflake or Databricks? Snowflake pays better at the median, with a median salary of $135,900 compared to $118,300 for Databricks — a difference of $17,600. This is notable because Databricks has higher overall demand, meaning the Snowflake premium likely reflects its concentration in specialised or infrastructure-adjacent roles. Job seekers optimising for compensation should weigh that salary gap against Databricks' larger pool of 650 listings.
Do employers ask for both Snowflake and Databricks in the same role?
Do employers ask for both Snowflake and Databricks in the same role? Yes — 20.0% of relevant listings include both skills, which is a significant overlap for two distinct platforms. This is most common in Data & Analytics, where both tools sit above 3.0% demand. Candidates who can work across both are better positioned to compete for these roles.
See individual skill profiles: Snowflake spotlight · Databricks spotlight
Data from 10,564 active listings across 199 companies via Greenhouse, Lever and Ashby. About our data & methodology.