Databricks
Large (~7,000)
Pylon
Small (~70)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
Pylon
Best for: Professionals interested in Pylon
Ratings
DatabricksPylon
4.1
3.0
Overall
3.9
4.0
Work-Life Balance
4.0
3.1
Culture & Values
4.3
3.0
Comp & Benefits
3.8
2.8
Senior Mgmt
3.9
2.8
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 60% Recommend
👤 63% CEO Approval (CEO)
Culture Values
Databricks only
🌱 Learning & Growth💎 Strong Comp & Equity🌈 Diverse & Inclusive
Pylon only
🚀 Ship Fast & Iterate🤝 Flat Hierarchy🧩 Wears Many Hats
Shared
⚙️ Engineering-Driven🎯 Direct Product Impact
Pros & Cons
Databricks
- Engineers who built Spark, Delta Lake, MLflow — deep technical pedigree
- Strong compensation and equity packages consistently above market
- Hypergrowth means org changes are constant — teams restructure frequently
- Some legacy Spark-era tech debt that can slow down new features
Pylon
- YC + a16z backed with strong product-market fit in B2B customer support
- Small team with outsized ownership — every engineer directly shapes the product
- Polarized reviews — aggressive culture reported by some employees
- Very early-stage with minimal processes — only 4 Glassdoor reviews
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
Pylon
Pylon — check Glassdoor for detailed reviews.
Open Roles
Databricks — 795 jobs
💼 Sales / GTM
322
💻 Engineering
260
📋 Product
53
📊 Data
23
⚙️ Operations
17
🧠 ML / AI
15
💰 Finance
12
📣 Marketing
11
👤 HR / People
9
⚖️ Legal
5
🎨 Design
4
🎧 Support
1
Pylon — 29 jobs
💼 Sales / GTM
12
💻 Engineering
9
🎨 Design
2
📣 Marketing
2
💰 Finance
1
📋 Product
1