Databricks: Markt
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.
Der Markt für Databricks hat derzeit 5.208 offene Rollen, davon 4.945 frisch beobachtet. 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
Nachfrage und beobachtetes Angebot
| Offene Nachfrage | 5.208 |
| Beobachtetes Angebot | 119 |
⚠ candidates matching a vacancy are not counted yet: demand and the observed pool are shown
Gehaltsverteilung
Jeder Zehnte verdient unter $4.515, jeder Zehnte über $17.708. Die Hälfte des Markts liegt zwischen $6.000 und $13.416. Stichprobe: 443.
The range histogram for Databricks postings uses only postings with an explicit compensation range; the median is computed over the same sample.
Geografie der Nachfrage
| Land | Stellen |
|---|---|
| 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
Wird zusammen verwendet mit
Databricks most often appears next to Azure, Python and AWS.
Rollen, die sie nutzen
| Rolle | Stellen |
|---|---|
| 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
Nachfrage nach Level
| Level | Stellen |
|---|---|
| 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
Arbeitgeber
Die Nachfrage verteilt sich auf 1.709 Arbeitgeber. Der größte steht für 7.5 %, die Top Ten für 17.8 %; die übrigen 82.2 % sind Long Tail.
| Anteil | Wert |
|---|---|
| Top-1 | 7.5% |
| Top-3 | 12.1% |
| Top-10 | 17.8% |
| Long Tail | 82.2% |
⚠ names are not shown: staffing agencies and end employers are not yet told apart by the classifier
Wo Zorky diesen Markt sieht
Beobachtet in 95 Quellen; die größte steht für 29.6 % — dieser Markt hängt nicht an einem einzigen Kanal.
Databricks postings arrive mostly from ATS & career sites and job boards & aggregators.
Neueste Ausschreibungen
- 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
Benachbarte Märkte
⚠ adjacent markets for comparison are not defined yet
So wird gemessen
- Stelle
- an open job that cleared the quality gate and lists at least two technologies
- Beobachteter Kandidat
- a candidate whose stack contains this technology; an aggregate — not a single record leaves the perimeter
- Matchbarer Kandidat
- not counted yet
- Fenster
- jobs open at the moment the snapshot was built
Über die Daten
- Einige Aufschlüsselungen sind ausgeblendet: Die Datenabdeckung reicht noch nicht aus.
- Statistiken erscheinen nur, wo die Stichprobe eine Qualitätsschwelle passiert.
- Ein fehlender Block bedeutet nicht den Wert null.
Derzeit ausgeblendete Aufschlüsselungen: 7.
Datenstand 2026-10-26
Häufig gestellte Fragen
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.