Databricks: mercado
Databricks is a lakehouse platform built on Apache Spark: storage, data engineering, analytics and ML in one environment. We track 5 208 open positions listing Databricks, 4 945 of them fresh. The platform runs on top of AWS, Azure and GCP, so requirements almost always pair it with a cloud; key topics are Delta Lake, Unity Catalog, job orchestration and MLflow. Most of the demand comes from Data, ML/AI and Architect roles. It most often appears next to Azure, Python and AWS. 37% of the postings allow fully remote work. Below is a live slice of Databricks demand.
O mercado de Databricks tem agora 5.208 vagas abertas, 4.945 delas observadas recentemente. Median salary $8.405/mo. Observed candidate pool — 119.
37% of Databricks postings allow fully remote work; the share counts only postings that state the work format.
⚠ salary known for 443 of 5208 jobs; remote share from 4461 with a stated format; 4945 counted as fresh observations; trend and hiring difficulty are not shown
Demanda e oferta observada
| Demanda aberta | 5.208 |
| Oferta observada | 119 |
⚠ candidates matching a vacancy are not counted yet: demand and the observed pool are shown
Distribuição de salários
Um em cada dez ganha menos de $4.515, um em cada dez mais de $17.708. Metade do mercado fica entre $6.000 e $13.416. Amostra: 443.
The range histogram for Databricks postings uses only postings with an explicit compensation range; the median is computed over the same sample.
Geografia da demanda
| país | vagas |
|---|---|
| US | 1.423 |
| PL | 964 |
| IN | 356 |
| GB | 317 |
| DE | 224 |
| SG | 126 |
| CA | 123 |
| BR | 122 |
| NL | 77 |
| FR | 64 |
The top country for Databricks demand is the US (1 423 positions).
⚠ job counts only: salary by country is not published
Usada junto com
Databricks most often appears next to Azure, Python and AWS.
Cargos que a usam
| cargo | vagas |
|---|---|
| Data | 2.843 |
| ML/AI | 440 |
| Architect | 363 |
| AI Engineer | 246 |
| Fullstack | 197 |
| DevOps | 173 |
| Analytics Engineer | 132 |
| Backend | 93 |
| Platform Engineer | 84 |
| Product | 81 |
⚠ the `Other` and `IT` buckets are excluded as non-roles
Demanda por nível
| nível | vagas |
|---|---|
| senior | 2.124 |
| lead | 432 |
| principal | 393 |
| middle | 242 |
| junior | 74 |
Senior-and-above is about 90% of 3 265 graded Databricks postings. Databricks is rarely a first tool — it is learned on top of SQL and Spark.
⚠ demand side only: the grade of the observed pool is unknown for most of it
Empregadores
A demanda está distribuída entre 1.709 empregador. O maior responde por 7.5%, os dez primeiros por 17.8%; os 82.2% restantes são cauda longa.
| proporção | valor |
|---|---|
| top 1 | 7.5% |
| top 3 | 12.1% |
| top 10 | 17.8% |
| cauda longa | 82.2% |
⚠ names are not shown: staffing agencies and end employers are not yet told apart by the classifier
Onde o Zorky vê este mercado
Observado em 95 fontes; a maior responde por 29.6%: este mercado não depende de um único canal.
Databricks postings arrive mostly from ATS & career sites and job boards & aggregators.
Vagas recentes
- Collibra Developer
- Data Engineer - Databricks
- Machine Learning Operations (MLOps) Engineer · US
- Data Architect · US
- Finance Data Analyst · IN
- Senior Director, Partner Data · US
- Xpert: Senior Java/Scala Engineer · ZA
- Senior Data Engineer · US
Mercados adjacentes
⚠ adjacent markets for comparison are not defined yet
Como é medido
- Vaga
- an open job that cleared the quality gate and lists at least two technologies
- Candidato observado
- a candidate whose stack contains this technology; an aggregate — not a single record leaves the perimeter
- Candidato compatível
- not counted yet
- Janela
- jobs open at the moment the snapshot was built
Sobre os dados
- Alguns detalhamentos estão ocultos: a cobertura de dados deles ainda não é suficiente.
- As estatísticas só aparecem onde a amostra passa por um controle de qualidade.
- A ausência de um bloco não significa valor zero.
Detalhamentos ocultos no momento: 7.
Dados de 2026-10-26
Perguntas frequentes
Common questions about the Databricks market — short answers from the same data slice.
Which roles need Databricks?
Data engineers — for Spark and Delta Lake pipelines, analysts — for the SQL warehouse, ML engineers — for training and MLflow, data architects — for lakehouse design and access governance via Unity Catalog.
What should I learn to match Databricks job requirements?
SQL and PySpark, the Delta Lake model (ACID tables, time travel), job orchestration, one cloud at the storage and IAM level, dbt for transformations. The Data Engineer Associate certification is a plus in postings.
Databricks or Snowflake?
Different strengths: Databricks — data engineering and ML on Spark, Snowflake — a SQL warehouse with simple operations. Both appear on the market, and knowing one eases the move to the other.
How big is the Databricks market?
The slice tracks 5 208 open Databricks positions — a lot for a specialized platform; demand grows as data platforms move to the lakehouse architecture.