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Databricks

AI Infrastructure · San Francisco, CA, USA

Matrix Employer Score™

95.24

High confidence

Employer Intelligence Evidence

Evidence-backed signals supporting our assessment of this AI employer.

Evidence-backed
AI Impact
High Confidence
100
5 evidence items
View evidence

Supporting signal

Production AI & Enterprise Adoption

Production AI & Enterprise Adoption

High Confidence

Oct 5, 2026

Databricks Forward Deployed Engineering reported work with more than 1,900 customers in 12 months and documented production AI deployment outcomes.

Source: DatabricksPrimary company sourceOpen source ↗

Production AI & Enterprise Adoption

High Confidence

Oct 5, 2026

Databricks reports more than 20,000 organizations worldwide, including 70% of the Fortune 500, using its data and AI platform.

Source: DatabricksPrimary company sourceOpen source ↗

Production AI & Enterprise Adoption

High Confidence

Oct 5, 2026

Databricks reported AI products exceeding a $1 billion revenue run-rate, providing direct evidence of material commercial AI adoption.

Source: DatabricksPrimary company sourceOpen source ↗

Production AI & Enterprise Adoption

High Confidence

Sep 26, 2026

Databricks data and AI platform is deployed across a broad global enterprise customer base for production analytics and AI workloads.

Source: DatabricksCompanyOpen source ↗

Enterprise Data Ai Scale

High Confidence

Sep 26, 2026

Databricks data and AI platform is deployed across a broad global enterprise customer base for production analytics and AI workloads.

Source: DatabricksCompanyOpen source ↗
Evidence items: 5Methodology: v1.2Updated: Oct 5, 2026
AI Leadership
High Confidence
99
4 evidence items
View evidence

Supporting signal

Data & AI Platform Leadership

Data & AI Platform Leadership

High Confidence

Oct 5, 2026

Databricks maintains an active research program spanning distributed systems, data management and AI/ML systems.

Source: Databricks ResearchPrimary company research sourceOpen source ↗

Data & AI Platform Leadership

High Confidence

Oct 5, 2026

Databricks traces core platform leadership to Apache Spark, Delta Lake, MLflow, Unity Catalog and the Lakehouse architecture.

Source: DatabricksPrimary company sourceOpen source ↗

Data & AI Platform Leadership

High Confidence

Sep 26, 2026

Databricks develops Lakehouse architecture, ML/AI platforms and model/data infrastructure spanning the production AI lifecycle.

Source: DatabricksCompanyOpen source ↗

Lakehouse Ai Platform

High Confidence

Sep 26, 2026

Databricks develops Lakehouse architecture, ML/AI platforms and model/data infrastructure spanning the production AI lifecycle.

Source: DatabricksCompanyOpen source ↗
Evidence items: 4Methodology: v1.2Updated: Oct 5, 2026
Employer Strength
High Confidence
100
5 evidence items
View evidence

Supporting signal

Data & AI Platform Employer Strength

Data & AI Platform Employer Strength

High Confidence

Oct 5, 2026

Databricks reports more than 10,000 employees and a global enterprise operating footprint.

Source: DatabricksPrimary company sourceOpen source ↗

Data & AI Platform Employer Strength

High Confidence

Oct 5, 2026

Databricks reported revenue run-rate above $5.4 billion with year-over-year growth above 65%, supporting exceptional business scale and durability.

Source: DatabricksPrimary company sourceOpen source ↗

Data & AI Platform Employer Strength

High Confidence

Oct 5, 2026

Databricks reports a broad global partner ecosystem across cloud, technology and consulting partners.

Source: DatabricksPrimary company sourceOpen source ↗

Global Platform Capacity

High Confidence

Sep 26, 2026

Databricks has global engineering, enterprise sales, cloud partnerships and organizational capacity to operate a major data/AI platform.

Source: DatabricksCompanyOpen source ↗

Data & AI Platform Employer Strength

High Confidence

Sep 26, 2026

Databricks has global engineering, enterprise sales, cloud partnerships and organizational capacity to operate a major data/AI platform.

Source: DatabricksCompanyOpen source ↗
Evidence items: 5Methodology: v1.2Updated: Oct 5, 2026
Market Transferability
High Confidence
100
5 evidence items
View evidence

Supporting signal

Data & AI Skill Transferability

Data & AI Skill Transferability

High Confidence

Oct 5, 2026

Databricks engineering work spans broadly portable capabilities including distributed systems, data engineering, machine learning and AI infrastructure.

Source: Databricks CareersPrimary company careers sourceOpen source ↗

Data & AI Skill Transferability

High Confidence

Oct 5, 2026

Databricks supports open ML and data ecosystems and interoperable technologies, reducing dependence on a single proprietary skill stack.

Source: Databricks DocumentationPrimary documentationOpen source ↗

Data & AI Skill Transferability

High Confidence

Oct 5, 2026

Databricks open-sourced Unity Catalog and described cross-cloud, cross-format and cross-platform interoperability designed to reduce vendor lock-in.

Source: DatabricksPrimary company sourceOpen source ↗

Data Ai Portability

High Confidence

Sep 26, 2026

Data engineering, distributed systems, ML platform and AI infrastructure skills transfer exceptionally broadly across industries.

Source: DatabricksCompanyOpen source ↗

Data & AI Skill Transferability

High Confidence

Sep 26, 2026

Data engineering, distributed systems, ML platform and AI infrastructure skills transfer exceptionally broadly across industries.

Source: DatabricksCompanyOpen source ↗
Evidence items: 5Methodology: v1.2Updated: Oct 5, 2026

Matrix Employer Score™ components are supported by structured employer evidence, versioned methodologies, and confidence ratings.

Hiring Signal

Hiring

Employer Signal

100

Hiring Opportunity

64

Company Overview

Employer Snapshot

AI Category

AI Infrastructure

Primary Location

San Francisco, CA, USA

Founded

2013

Employees

5000

Why AI Talent Watches Databricks

Unified analytics and AI platform for enterprises.

Why Join

Build the data and AI infrastructure powering modern enterprises. Excellent career growth for engineers working on machine learning platforms, big data, and generative AI.

Employer Intelligence

Hiring: Hiring

Talent Competition: High

Technical Bar: Very High

AI Talent Matrix Confidence: High confidence

Recent Employer Signals

Enterprise AI Platforms & Applied Engineering

Databricks continues to position engineering work around the full data-and-AI application stack, with teams spanning AI Search, Agent Bricks, Lakeflow, applications, data systems, and field engineering. Its careers materials emphasize close collaboration between engineers and researchers and shipping AI capabilities used by large enterprises.

AI Talent Matrix interpretation

This is a strong enterprise-AI and platform-engineering signal for candidates who want to work close to production data systems rather than only model research. Public careers material is directional evidence and does not automatically change Matrix Employer Score™.

Talent Intelligence

Matrix Employer Score™ Breakdown

View Matrix Employer Score™ Methodology →

Core Employer Intelligence

AI Impact

100

AI Leadership

99

Employer Strength

100

Market Transferability

100

Career & Workplace

Career Growth

90

Compensation

90

Engineering Culture

90

Work-Life Balance

80

Evidence-Backed Signals

Career Upside

90

Talent Density

90

Hiring Opportunity

64

Talent & Career Programs

Remote Policy

Hybrid

Visa Sponsorship

Yes

Internship Program

Available

New Grad Program

Available

AI Focus

AI Infrastructure

Flagship Products

Databricks Data Intelligence Platform, Mosaic AI, MLflow, Delta Lake, Unity Catalog

Data & Methodology

How AI Talent Matrix interprets this employer

Last Updated

8/2/2026 9:42am

AI Talent Matrix Confidence

High confidence

AI Talent Matrix scores and signals are comparative employer-intelligence indicators and should not be interpreted as guarantees of hiring, compensation, career outcomes, or individual fit.

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