Overview
News
Technologies
Salaries
Products
People
Growth
Jobs
Financials
Overview
Databricks is an American software company founded in 2013 by the original creators of Apache Spark, Delta Lake and MLflow at the University of California, Berkeley. Its data intelligence platform unifies data engineering, warehousing, governance, analytics and machine learning on a lakehouse architecture that stores open table formats in a customer's own cloud object storage. Headquartered in San Francisco and available on AWS, Azure and Google Cloud, the platform is used by tens of thousands of organisations to build pipelines, dashboards and production AI applications.
News
Connecting retail demand planning to campaign and store execution
Retail and consumer goods teams make decisions across a connected but complex operating cycle...
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Report
Inbound Private Link now supports account-level Genie One, the account console, and custom URLs
Enterprises adopting Databricks for their most sensitive data commonly rely on Inbound...
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Report
Busting SQL Migration Myths: How New SQL Features Make Lift-and-Shift to Lakehouse Easier
Somewhere in your warehouse, hundreds of stored procedures wake up every night and...
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Report
Designing effective Genie Agents from a single prompt
Ask a generic agent about revenue, and it'll likely grab the first revenue table...
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Report
Databricks Document Intelligence: pushing the frontier for complex document extraction
Every enterprise has valuable data trapped in messy, unstructured documents. Today,...
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Report
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Technologies
Tech DNA
Python
Scala
SQL
Bootstrap
Hadoop
PyTorch
Delta Lake
Snowflake
Amazon Redshift
AWS
Azure
GCP
LLM
Claude
Llama
AI/ML
Python
Scala
SQL
C++
Databricks
AWS
Azure
Spark
GCP
CI/CD
AI Agents
Delta Lake
MLFlow
Kubernetes
Hadoop
Snowflake
LLM
RAG
PyTorch
Fine-tuning
Scikit-learn
Docker
Amazon S3
LangChain
Human-in-the-Loop
Hugging Face
LLM Guardrails
Terraform
Vector
Amazon Redshift
DSPy
LLMOps
Platform Engineering
Model Context Protocol
pySpark
CloudFormation
Apache Iceberg
Claude
OpenAI
GitHub
IAM
TensorFlow
Post-training
Incident Management
Teradata
Anomaly Detection
PostgreSQL
Cassandra
Claude Code
Embeddings
Ray
Edge AI
Git
Cursor
Prompt Engineering
Vertex AI
Function Calling
Anthropic
Amazon SageMaker
GitHub Actions
Google BigQuery
ElasticSearch
NLP
Reinforcement Learning
Llama
Qwen
Gemini
SGLang
vLLM
DeepSpeed
Pre-training
FSDP
Megatron-LM
Recommender Systems
Prometheus
SLI/SLO/SLA
Chaos Engineering
MS SQL
Oracle
LangGraph
dbt
Flink
RLHF
Transformers
Multimodal AI
CUDA
CUDA Toolkit
Quantization
Knowledge Graph
InfiniBand
NVLink
Time Series Forecasting
GRPO
PPO
SFT
OpenAI Codex
cuDNN
NCCL
AIOps
Datadog
Pulumi
Azure DevOps
WebSockets
GitLab
MySQL
TiDB
FAISS
OpenSearch
LlamaIndex
ChatGPT
Dagster
Prefect
Hallucination
OpenCL
Triton
Synthetic Data
Reranking
LLM Evaluation
A2A
Context Engineering
EU AI Act
NIST AI RMF
Mixture of Experts
Shift-Left
Grafana
PagerDuty
Bicep
Splunk
FinOps
Amazon EKS
Azure AKS
SLURM
Envoy
Bazel
AWS CDK
HPC
Amazon CloudWatch
Self-Healing
Red Teaming
Feature Store
Consul
Backend
Java
Node JS
C#
PHP
Apache Kafka
GraphQL
Rest API
RabbitMQ
FastAPI
Drupal
gRPC
Security
JavaScript
Go
Rust
Shuffle
Least Privilege
FedRAMP
HIPAA
GDPR
NIST 800-53
Shift-Left Security
Threat Modeling
Microsoft Entra ID
PCI DSS
SOC 2
Zero Trust
OWASP Top 10
Frontend
TypeScript
Bootstrap
React.js
Angular
Vue.js
D3.js
Enterprise Apps
ABAP
Apex
SAP BTP
SAP Fiori
CDS Views
Other
ETL/ELT
Salesforce
Tableau
Jira
Rollup
ServiceNow
Power BI
Zendesk
Unity
HubSpot
Confluence
Slack
Stack modernity
79/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Databricks
554 jobs
Required
$250k
+42% vs market
Python
297 jobs
Required
$250k
+39% vs market
AWS
264 jobs
Required
$250k
+35% vs market
Azure
260 jobs
Required
$250k
+49% vs market
Scala
242 jobs
Required
$250k
+42% vs market
Spark
229 jobs
Required
$250k
+38% vs market
GCP
229 jobs
Required
$250k
+32% vs market
SQL
198 jobs
Required
$248k
+76% vs market
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
20%
JavaScript
16%
CI/CD
16%
AWS
16%
SQL
15%
AI Agents
14%
Share of companies in the same industry that use each technology.
Stack changes
Self-Healing
Aug 2026
RabbitMQ
Aug 2026
Amazon CloudWatch
Aug 2026
HPC
Aug 2026
NCCL
Aug 2026
Mixture of Experts
Aug 2026
cuDNN
Aug 2026
Amazon S3
Aug 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Jobgether
Adobe
Weekday
NVIDIA
Salesforce
CrowdStrike
Salary insights
Compensation ranges based on this company's open jobs
Median
$250k
Typical range
$163k – $301k
Open positions
11
11
Jobs
Senior
36.4%
Architect
63.6%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Senior | 4 | $250k | $250k |
| Architect | 7 | $248k | $163k – $301k |
Highest paying role
Sr. Solutions Architect - Public Sector (SLED)
$301k
Normalized to USD per year
Products
Mosaic AI
Mosaic AI is the platform's toolkit for building, fine-tuning, evaluating and serving generative AI models on enterprise data. It came out of the 2023 acquisition of MosaicML.
databricks.com
Unity Catalog
Unity Catalog provides centralised governance for data and AI assets across clouds and workspaces. It handles access control, lineage, auditing and discovery from a single metadata layer.
databricks.com
MLflow
MLflow is an open-source platform for tracking experiments, packaging models and managing deployment lifecycles. It has become a standard tool in machine learning engineering workflows.
databricks.com
Delta Lake
Delta Lake is an open storage format that adds transactions, schema enforcement and time travel to data lake files. It is the foundation of the lakehouse architecture and is used far beyond Databricks itself.
databricks.com
Databricks Data Intelligence Platform
The Data Intelligence Platform is the company's unified lakehouse for engineering, analytics and AI workloads. It runs on a customer's own cloud storage and combines warehouse performance with data lake flexibility.
databricks.com
People
Patrick Wendell
Co-Founder & Vice President of Engineering
Patrick Wendell co-founded Databricks and runs large parts of its engineering organisation. He was a release manager for Apache Spark in its formative years.
Reynold Xin
Co-Founder & Chief Architect
Reynold Xin co-founded Databricks and leads platform architecture. He was a top contributor to Apache Spark and designed several of its core execution components.
Ion Stoica
Co-Founder & Executive Chairman
Ion Stoica co-founded Databricks and serves as executive chairman. He is a Berkeley professor and co-founder of Conviva and Anyscale.
Matei Zaharia
Co-Founder & Chief Technology Officer
Matei Zaharia co-founded Databricks and created Apache Spark during his doctorate at Berkeley. He is also a professor of computer science and leads the company's research agenda.
Ali Ghodsi
Co-Founder & Chief Executive Officer
Ali Ghodsi co-founded Databricks and has led it as chief executive since 2016. He was one of the creators of Apache Mesos and an adjunct professor at the University of California, Berkeley.
Growth
Hiring Momentum
62/100
Growing
Open positions
554
7 opened / 0 closed in 30 days
Median time-to-fill
194 days
faster than 7% of the market
ATS activity
Every ~2 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Product
48% ▲
Backend
28% ▼
Management
6%
AI/ML
6%
Executive
6% ▼
Analytics
2%
Actively hiring for Product (+65 in 30 days)
Activity Timeline
New location: McLean
Aug 2026
New location: Mountain View
Aug 2026
New location: Aarhus
Aug 2026
New location: Bellevue
Aug 2026
New location: Plano
Aug 2026
New location: Toronto
Aug 2026
New location: Phoenix
Aug 2026
New location: Austin
Aug 2026
New location: Charlotte
Aug 2026
New location: Boston
Aug 2026
New location: Raleigh
Aug 2026
New location: Seattle
Aug 2026
Jobs
Sr. Solutions Architect - Financial Services (Asset and Wealth Management)
Verified live · 1 hour ago 1 hour ago≈ $158k – $288k per year (Estimated) • In office • 8+ years exp • Bachelor's Degree • Chicago
Python
SQL
pySpark
Databases
Databricks
Snowflake
AI/ML
Spark
DevOps
AWS
Apply
≈ $172k – $314k per year (Estimated) • In office • 8+ years exp • Bachelor's Degree • Seattle
Python
SQL
pySpark
Databases
Databricks
Snowflake
AI/ML
Spark
DevOps
AWS
Apply
≈ $149k – $268k per year (Estimated) • In office
Databricks
Apply
≈ $149k – $268k per year (Estimated) • In office • 5+ years exp • Bachelor's Degree • San Francisco
Databricks
AI/ML
Spark
DevOps
AWS
Azure
GCP
Analytics
ETL/ELT
Apply
≈ $179k – $362k per year (Estimated) • In office • 10+ years exp • San Francisco
Databricks
Apply
≈ $168k – $307k per year (Estimated) • In office • 8+ years exp • Bachelor's Degree
Python
SQL
pySpark
Databases
Databricks
Snowflake
AI/ML
Spark
DevOps
AWS
Apply
≈ $25k – $68k per year (Estimated) • In office • 3+ years exp • Bengaluru
Apex
Node JS
Python
JavaScript
Databricks
AI/ML
AI Agents
LangChain
LangGraph
LLM
Prompt Engineering
Frontend
GraphQL
React.js
DevOps
CI/CD
Marketing
Salesforce
Apply
≈ $101k – $242k per year (Estimated) • In office • 5+ years exp • Bachelor's Degree • Amsterdam
Python
Databricks
AI/ML
Spark
Apply
≈ $25k – $60k per year (Estimated) • In office • 6+ years exp • Bengaluru
ABAP
SAP BTP
SAP Fiori
Databases
Databricks
AI/ML
Prompt Engineering
RAG
AI Agents
Function Calling
Human-in-the-Loop
DevOps
CI/CD
Git
Kubernetes
Apply
≈ $106k – $256k per year (Estimated) • In office • 5+ years exp • Bachelor's Degree • Melbourne
Python
Scala
SQL
Databricks
Apply
≈ $29k – $76k per year (Estimated) • In office • 6+ years exp • Bengaluru
C++
Java
Python
Scala
Databricks
DevOps
AIOps
AWS
Azure
Docker
FinOps
GCP
Kubernetes
Apply
≈ $29k – $77k per year (Estimated) • In office • 6+ years exp • Bengaluru
Apache Kafka
Databricks
RabbitMQ
DevOps
CI/CD
Analytics
ETL/ELT
Apply
Show more jobs
Financials
Total raised
$14.5B
Latest round
Venture - Series Unknown
Funding rounds
6
Investors
5
Funding rounds
| Round | Announced | Amount | Valuation |
|---|---|---|---|
| Venture - Series Unknown | 2025 | $1B | $100B |
| Series H | 2024 | $10B | $62B |
| Series G | 2023 | $500M | $43B |
| Series F | 2021 | $1.6B | $38B |
| Series E | 2021 | $1B | $28B |
| Series D | 2019 | $400M | $6.2B |
Key Investors
Microsoft
Microsoft invested in Databricks in 2019 and operates the first-party Azure Databricks service. The partnership makes the platform available natively inside Azure.
microsoft.com
Insight Partners
Insight Partners co-led Databricks' Series J financing. The firm is one of the most active growth investors in enterprise software.
insightpartners.com
Thrive Capital
Thrive Capital led the 2024 round that valued Databricks at sixty-two billion dollars. The New York firm concentrates on late-stage software and internet businesses.
thrivecap.com
New Enterprise Associates
New Enterprise Associates was an early institutional investor in Databricks and led its Series F. The firm has held its position through the company's growth.
nea.com
Andreessen Horowitz
Andreessen Horowitz has backed Databricks from early rounds through its largest late-stage financings. The firm led the Series G at a twenty-eight billion dollar valuation.
a16z.com