Databricks Tech Stack

Data and AI platform for lakehouse analytics and ML at enterprise scale

Software Development San Francisco, CA 5,001–10,000 employees Privately Held

Databricks operates a unified data and AI platform serving over 20,000 organizations, including more than 60% of Fortune 500 companies. The stack reveals a dual-platform strategy: Apache Spark, Delta Lake, and lakehouse architecture for analytics workloads, paired with MLflow and emerging AI capabilities (RAG, Mosaic AI adoption). Sales and engineering dominate the 5,001–10,000 headcount, with 440 new roles posted in the last 30 days—signaling aggressive market expansion—while pain points center on complex enterprise sales cycles and accelerating platform adoption across new business units.

Tech Stack 200 technologies

Core StackHadoop Python Scala Java C++ Apache Spark AWS Delta Lake Go Rust MLflow Salesforce Kubernetes Unity Catalog RAG Databricks Unity Catalog Elasticsearch R NoSQL OLAP Azure Blob Storage Lakehouse Azure GCP Databricks SQL SQL Delta Live Tables Lucene GCS HTML+170 more

AdoptingHadoop Apache Spark Delta Lake Lakehouse FedRAMP Delta Live Tables Apache Spark Structured Streaming Photon+15 more

What Databricks Is Building

◆Challenges

Complex sales cycles
Maximizing roi on databricks workloads
Big data challenges
Performance optimization
Distributed systems
Accelerating databricks adoption
Cloud hardware faults
Increasing adoption of databricks platform
Large enterprises becoming data-driven
Security compliance

▲Active Projects

Proofs of concept
Reference architecture design
Technical strategy implementation
End-to-end big data application deployment
Ai oss platform development
Expand databricks footprint into new business units and use cases
Territory plan
Co-develop business plan
Data intelligence platform
Building databricks technical community

Hiring Activity

Steady1,200 roles · 440 in 30d

Department

Engineering

471

Sales

344

Data

Support

Product

Security

Ops

Finance

Seniority

Senior

738

Staff

141

Manager

Director

Mid

Junior

Lead

Intern

Notable leadership hires: Sales Director, Media Strategy Director, Payroll Compliance Lead, Director of Sales, Strategy Director

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About Databricks

Databricks is a data and AI company headquartered in San Francisco with 30+ offices globally. The platform unifies data lakehouse infrastructure (built on Apache Spark, Delta Lake, and Unity Catalog), SQL analytics, and machine learning capabilities for enterprises building data and AI applications. The company sells into mid-market and Fortune 500 organizations, with a sales-led motion reflected in hiring velocity and active initiatives around territory expansion and co-developed business plans. Core operational challenges include managing complex multi-year enterprise deals and scaling adoption across customer business units.

HeadquartersSan Francisco, CA

Company Size5,001–10,000 employees

Hiring MarketsUnited States, India, United Kingdom, Sweden, Germany, Netherlands, Singapore, France

Frequently Asked Questions

What is Databricks' tech stack?

Databricks uses Apache Spark, Delta Lake, Lakehouse, MLflow, Unity Catalog, Python, Scala, SQL, and cloud platforms (AWS, Azure, GCP). Recently adopting Photon, Apache Spark Structured Streaming, and Mosaic AI for performance and AI workloads.

Where does Databricks hire?

Databricks actively hires across 22 countries: US, India, UK, Sweden, Germany, Netherlands, Singapore, France, Serbia, Denmark, Brazil, Australia, Costa Rica, Italy, Canada, Japan, Mexico, South Korea, New Zealand, Switzerland, Finland, Spain, and Israel.