Databricks
Large (~7,000)
Modal
Small (~110)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
Modal
Best for: Systems engineers who want to build developer-loved cloud infrastructure with elite teammates
Ratings
DatabricksModal
4.1
4.0
Overall
3.9
3.8
Work-Life Balance
4.0
4.2
Culture & Values
4.3
3.8
Comp & Benefits
3.8
4.0
Senior Mgmt
3.9
3.5
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 82% Recommend
👤 88% CEO Approval (Erik Bernhardsson)
Culture Values
Databricks only
🌱 Learning & Growth💎 Strong Comp & Equity🌈 Diverse & Inclusive
Modal only
🚀 Ship Fast & Iterate🎧 Deep Work / Low Meetings🔓 Open Source Culture🧩 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
Modal
- World-class engineering team — includes creators of Luigi, Seaborn, and olympiad medalists
- High-impact product with 50x revenue growth — developers widely praise the platform
- Early-stage startup dynamics — roles shift quickly, requires high self-direction
- Limited HR infrastructure — benefits and career ladders still being developed
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
Modal
Choose Modal if you want world-class engineering peers and 50x revenue growth — but expect early-stage startup dynamics.
Open Roles
Databricks — 789 jobs
💼 Sales / GTM
319
💻 Engineering
258
📋 Product
52
📊 Data
23
⚙️ Operations
17
🧠 ML / AI
15
💰 Finance
12
📣 Marketing
11
👤 HR / People
9
⚖️ Legal
5
🎨 Design
4
🎧 Support
1
Modal — 31 jobs
💻 Engineering
10
💼 Sales / GTM
5
👤 HR / People
3
🎨 Design
2
💰 Finance
2
📣 Marketing
2
🧠 ML / AI
2
⚙️ Operations
1