Databricks : marché
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.
Le marché Databricks compte actuellement 5 208 postes ouverts, dont 4 945 observés récemment. 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
Demande et offre observée
| Demande ouverte | 5 208 |
| Offre observée | 119 |
⚠ candidates matching a vacancy are not counted yet: demand and the observed pool are shown
Distribution des salaires
Un sur dix gagne moins de $4 515, un sur dix plus de $17 708. La moitié du marché se situe entre $6 000 et $13 416. Échantillon: 443.
The range histogram for Databricks postings uses only postings with an explicit compensation range; the median is computed over the same sample.
Géographie de la demande
| pays | offres |
|---|---|
| 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
Utilisée avec
Databricks most often appears next to Azure, Python and AWS.
Métiers qui l'utilisent
| métier | offres |
|---|---|
| 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
Demande par niveau
| niveau | offres |
|---|---|
| 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
Employeurs
La demande est répartie entre 1 709 employeurs. Le plus grand en représente 7.5 %, les dix premiers 17.8 % ; les 82.2 % restants forment la longue traîne.
| part | valeur |
|---|---|
| top 1 | 7.5% |
| top 3 | 12.1% |
| top 10 | 17.8% |
| longue traîne | 82.2% |
⚠ names are not shown: staffing agencies and end employers are not yet told apart by the classifier
Où Zorky voit ce marché
Observé sur 95 sources ; la plus grande en représente 29.6 % : ce marché ne repose pas sur un seul canal.
Databricks postings arrive mostly from ATS & career sites and job boards & aggregators.
Postes récents
- 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
Marchés voisins
⚠ adjacent markets for comparison are not defined yet
Comment c'est mesuré
- Offre
- an open job that cleared the quality gate and lists at least two technologies
- Candidat observé
- a candidate whose stack contains this technology; an aggregate — not a single record leaves the perimeter
- Candidat correspondant
- not counted yet
- Fenêtre
- jobs open at the moment the snapshot was built
À propos des données
- Certaines ventilations sont masquées : leur couverture de données n'est pas encore suffisante.
- Les statistiques ne sont affichées que là où l'échantillon passe un contrôle qualité.
- Un bloc absent ne signifie pas une valeur nulle.
Ventilations masquées actuellement : 7.
Données au 2026-10-26
Questions fréquentes
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.