Databricks
Large (~7,000)
Weaviate
Small (~110)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
Weaviate
Best for: Engineers who want open-source vector database work with true remote-first, async culture
Ratings
DatabricksWeaviate
4.1
4.3
Overall
3.9
4.2
Work-Life Balance
4.0
4.5
Culture & Values
4.3
4.0
Comp & Benefits
3.8
4.2
Senior Mgmt
3.9
4.0
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 85% Recommend
👤 90% CEO Approval (Bob van Luijt)
Culture Values
Databricks only
⚙️ Engineering-Driven🌱 Learning & Growth💎 Strong Comp & Equity🎯 Direct Product Impact
Weaviate only
🌐 Remote-Friendly📡 Async-First🤝 Flat Hierarchy🔓 Open Source⚖️ Work-Life Balance🛡️ Safe to Fail
Shared
🌈 Diverse & Inclusive
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
Weaviate
- Excellent remote-first culture — async workflows, timezone respect, and high autonomy
- Flat, ego-free culture — your voice is heard from day 1 regardless of title
- Time zone challenges inherent to a fully distributed global team
- Startup growing pains — processes still being established, things evolve quickly
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
Weaviate
Choose Weaviate if you want excellent remote culture with flat hierarchy and open-source mission — but expect startup growing pains.
Open Roles
Databricks — 842 jobs
💼 Sales / GTM
353
💻 Engineering
284
📋 Product
39
📣 Marketing
34
📊 Data
22
👤 HR / People
12
🧠 ML / AI
12
⚙️ Operations
11
🎨 Design
6
💰 Finance
5
⚖️ Legal
5
Weaviate — 5 jobs
💻 Engineering
3
💼 Sales / GTM
2
Summary
Databricks scores 4.1/5.0 on Glassdoor with a 3.9 work-life balance rating. Weaviate scores 4.3/5.0 overall with a 4.2 WLB. That’s a 0.2-point gap on overall satisfaction.
Both companies share these culture values: Diverse & Inclusive. Databricks also emphasizes Engineering-Driven, Learning & Growth, Strong Comp & Equity, Direct Product Impact. Weaviate also emphasizes Remote-Friendly, Async-First, Flat Hierarchy, Open Source, Work-Life Balance, Safe to Fail.
On the hiring front, Databricks has 842 open roles and Weaviate has 5 open roles.