Databricks: rynek
Databricks is a lakehouse platform built on Apache Spark: storage, data engineering, analytics and ML in one environment. We track 5 187 open positions listing Databricks, 4 809 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.
Rynek Databricks ma obecnie 5187 otwartych ról, w tym świeżo zaobserwowanych: 4809. Median salary $8405/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 459 of 5187 jobs; remote share from 4434 with a stated format; 4809 counted as fresh observations; trend and hiring difficulty are not shown
Timeline: postings and sources
How many Databricks postings appeared each week since Aug 10, and from how many sources. The second line separates market growth from coverage growth: a jump in the week new sources were connected means we started seeing more, not that the market grew.
New postings and active sources per week
Sources over the period: 138
New sources connected: Aug 17 +17 · Aug 24 +9 · Aug 31 +4 · Sep 7 +12 · Sep 14 +9 · Sep 21 +23 · Sep 28 +8 · Oct 5 +5 · Oct 12 +9 · Oct 19 +13
Week = posting first-seen date, all statuses. A posting belongs to the technology by its stack tag; the series starts on 10 Aug 2026 — earlier tags were assigned differently and are not comparable. Sources are distinct collection channels; their names are not published.
Salaries over time
Median Databricks salary per week, USD per month.
Median salary, USD per month
Only postings with a USD salary and a known period (month or year), $500–$50,000 per month. Weeks with fewer than 10 such postings are left blank — that means no data, not zero.
Remote work over time
Share of Databricks postings offering fully remote work, per week.
Remote postings, %
The share is among postings that state a format (remote, hybrid, office). Weeks with fewer than 10 such postings are left blank.
Countries over time
How the share of Databricks postings in each of the top countries changed, per week.
Postings in the country, %
Share among postings with a known country; the chart shows the five countries with the most postings over six months. Weeks with fewer than 20 postings with a known country are left blank. A rising share can mean a newly connected source in that country rather than market growth.
Popyt i obserwowana podaż
| Otwarty popyt | 5187 |
| Obserwowana podaż | 119 |
⚠ candidates matching a vacancy are not counted yet: demand and the observed pool are shown
Rozkład wynagrodzeń
Co dziesiąta osoba zarabia poniżej $4427, co dziesiąta powyżej $17 708. Połowa rynku mieści się między $6000 a $13 541. Próba: 459.
The range histogram for Databricks postings uses only postings with an explicit compensation range; the median is computed over the same sample.
Geografia popytu
| kraj | oferty |
|---|---|
| US | 1417 |
| PL | 968 |
| IN | 358 |
| GB | 306 |
| DE | 217 |
| SG | 124 |
| BR | 122 |
| CA | 122 |
| NL | 77 |
| FR | 65 |
The top country for Databricks demand is the US (1 417 positions).
⚠ job counts only: salary by country is not published
Używana razem z
Databricks most often appears next to Azure, Python and AWS.
Role, które jej używają
| rola | oferty |
|---|---|
| Data | 2518 |
| ML/AI | 494 |
| Architect | 491 |
| AI Engineer | 271 |
| Fullstack | 209 |
| DevOps | 149 |
| Analytics Engineer | 137 |
| Product | 118 |
| Backend | 111 |
| Platform Engineer | 105 |
⚠ the `Other` and `IT` buckets are excluded as non-roles
Popyt według poziomu
| poziom | oferty |
|---|---|
| senior | 2129 |
| lead | 428 |
| principal | 397 |
| middle | 246 |
| junior | 121 |
Senior-and-above is about 89% of 3 321 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
Pracodawcy
Popyt rozkłada się na 1726 pracodawców. Największy odpowiada za 7.2%, pierwsza dziesiątka za 17.4%; pozostałe 82.6% to długi ogon.
| udział | wartość |
|---|---|
| top-1 | 7.2% |
| top-3 | 11.7% |
| top-10 | 17.4% |
| długi ogon | 82.6% |
⚠ names are not shown: staffing agencies and end employers are not yet told apart by the classifier
Gdzie Zorky widzi ten rynek
Obserwowane w 94 źródłach; największe odpowiada za 29.4% — ten rynek nie opiera się na jednym kanale.
Databricks postings arrive mostly from ATS & career sites and job boards & aggregators.
Najnowsze ogłoszenia
- Senior Software Engineer · US
- Business Analyst
- Data Engineer (Onsite) · TH
- Senior Data Engineer (m/w/d) · US
- Data Platform Product Owner / Business Analyst · PL · $4875
- Senior Data Engineer · US
- Director, AI and Agentic Engineering · US · $17 917
- Associate Principal Architect (Data and Analytics Platform) · US · $15 167
Sąsiednie rynki
⚠ adjacent markets for comparison are not defined yet
Jak to mierzymy
- Oferta
- an open job that cleared the quality gate and lists at least two technologies
- Obserwowany kandydat
- a candidate whose stack contains this technology; an aggregate — not a single record leaves the perimeter
- Kandydat do dopasowania
- not counted yet
- Okno
- jobs open at the moment the snapshot was built
O danych
- Część przekrojów jest ukryta: pokrycie danymi jest jeszcze niewystarczające.
- Statystyki pokazujemy tylko tam, gdzie próba przechodzi próg jakości.
- Brak bloku nie oznacza wartości zero.
Obecnie ukryte przekroje: 7.
Dane na dzień 2026-10-27
Najczęściej zadawane pytania
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 5 187 open Databricks positions — a lot for a specialized platform; demand grows as data platforms move to the lakehouse architecture.