Snowflake Inc. vs Databricks

Snowflake Inc. vs Databricks Culture

Side-by-side culture comparison. See ratings, values, pros & cons, and open roles to find your best fit.

Snowflake Inc.

Snowflake Inc.

Large (~5,000)
โœจ AI-generated
Databricks

Databricks

Large (~7,000)
Snowflake Inc.
Best for: Data engineers and cloud infrastructure professionals seeking competitive compensation and rapid career growth in a high-growth SaaS company.
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
Snowflake Inc.Databricks
4.1
4.1
Overall
3.7
3.9
Work-Life Balance
4.0
4.0
Culture & Values
4.2
4.3
Comp & Benefits
3.8
3.8
Senior Mgmt
3.9
3.9
Career Opps
๐Ÿ‘ 78% Recommend ๐Ÿ‘ค 82% CEO Approval (Frank Slootman)
๐Ÿ‘ 82% Recommend ๐Ÿ‘ค 88% CEO Approval (Ali Ghodsi)
Snowflake Inc. only
๐ŸชŸ Transparent๐Ÿš€ Ship Fast & Iterate
Databricks only
๐Ÿ’Ž Strong Comp & Equity๐ŸŒˆ Diverse & Inclusive
Shared
โš™๏ธ Engineering-Driven๐ŸŽฏ Direct Product Impact๐ŸŒฑ Learning & Growth

Snowflake Inc.

  • โœ“Highly competitive salary and equity packages attract top talent
  • โœ“Clear product impact working on the leading cloud data platform
  • โœ—High-pressure, fast-moving environment can create work-life balance challenges
  • โœ—Large organization has become more bureaucratic as it scales

Databricks

  • โœ“Engineers who built Spark, Delta Lake, MLflow โ€” deep technical pedigree
  • โœ“Strong compensation and equity packages consistently above market
  • โœ—Hypergrowth means org changes are constant โ€” teams restructure frequently
  • โœ—Some legacy Spark-era tech debt that can slow down new features
Snowflake Inc.
Choose Snowflake if you want strong compensation and impact in data cloud infrastructure โ€” but expect fast-paced execution and occasional work-life balance trade-offs.
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity โ€” but brace for constant org changes.

Snowflake Inc.

No open roles currently listed

Databricks โ€” 762 jobs

๐Ÿ’ผ Sales / GTM
292
๐Ÿ’ป Engineering
257
๐Ÿ“‹ Product
51
๐Ÿ“Š Data
23
๐Ÿ“ฃ Marketing
15
๐Ÿง  ML / AI
15
โš™๏ธ Operations
15
๐Ÿ’ฐ Finance
12
๐Ÿ‘ค HR / People
9
โš–๏ธ Legal
5
๐ŸŽจ Design
4