Databricks: market
Databricks is a lakehouse platform built on Apache Spark: storage, data engineering, analytics and ML in one environment. We track 4 875 open positions listing Databricks, 4 701 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.
The Databricks market currently has 4,875 open roles, 4,701 of them freshly observed. Median salary $8,000/mo. Observed candidate pool — 118.
37% of Databricks postings allow fully remote work; the share counts only postings that state the work format.
⚠ salary known for 361 of 4875 jobs; remote share from 4216 with a stated format; 4701 counted as fresh observations; trend and hiring difficulty are not shown
Timeline: postings and sources
How many Databricks postings appeared each week since 10 Aug, 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: 125
New sources connected: 17 Aug +17 · 24 Aug +9 · 31 Aug +4 · 7 Sept +12 · 14 Sept +9 · 21 Sept +23 · 28 Sept +8 · 5 Oct +5 · 12 Oct +9
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.
Demand and observed supply
| Open demand | 4,875 |
| Observed supply | 118 |
⚠ candidates matching a vacancy are not counted yet: demand and the observed pool are shown
Salary distribution
One in ten earns under $4,515, one in ten over $17,791. Half the market falls between $5,985 and $13,750. Sample: 361.
The range histogram for Databricks postings uses only postings with an explicit compensation range; the median is computed over the same sample.
Demand geography
| country | jobs |
|---|---|
| US | 1,319 |
| PL | 929 |
| IN | 328 |
| GB | 300 |
| DE | 197 |
| BR | 120 |
| SG | 117 |
| CA | 116 |
| NL | 74 |
| FR | 61 |
The top country for Databricks demand is the US (1 319 positions).
⚠ job counts only: salary by country is not published
Used together with
Databricks most often appears next to Azure, Python and AWS.
Roles that use it
| role | jobs |
|---|---|
| Data | 2,698 |
| ML/AI | 409 |
| Architect | 334 |
| AI Engineer | 221 |
| Fullstack | 196 |
| DevOps | 154 |
| Analytics Engineer | 109 |
| Backend | 94 |
| Product | 74 |
| Platform Engineer | 70 |
⚠ the `Other` and `IT` buckets are excluded as non-roles
Demand by grade
| grade | jobs |
|---|---|
| senior | 1,971 |
| lead | 388 |
| principal | 371 |
| middle | 229 |
| junior | 65 |
Senior-and-above is about 90% of 3 024 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
Employers
Demand is spread across 1,551 employers. The largest accounts for 8.2%, the top ten for 19.1%; the remaining 80.8% is long tail.
| share | value |
|---|---|
| top-1 | 8.2% |
| top-3 | 13.2% |
| top-10 | 19.1% |
| long tail | 80.8% |
⚠ names are not shown: staffing agencies and end employers are not yet told apart by the classifier
Where Zorky sees this market
Observed across 91 sources; the largest accounts for 31.3% — this market does not rest on a single channel.
Databricks postings arrive mostly from ATS & career sites and job boards & aggregators.
Recent openings
- Senior Cloud Platform Engineer
- Sr Decision Science Developer · US
- Senior Analyst Revenue Strategy and Analysis · US
- Data Architect
- Azure Data Engineer with Databricks · PL
- Power BI Consultant · PL
- Senior Data Engineer · CA · $7,167
- Director of Engineering, Data · CA · $17,125
Adjacent markets
⚠ adjacent markets for comparison are not defined yet
How this is measured
- Vacancy
- an open job that cleared the quality gate and lists at least two technologies
- Observed candidate
- a candidate whose stack contains this technology; an aggregate — not a single record leaves the perimeter
- Matchable candidate
- not counted yet
- Window
- jobs open at the moment the snapshot was built
About the data
- Some breakdowns are hidden: their data coverage is not yet sufficient.
- Statistics are shown only where the sample clears a quality gate.
- A missing block does not mean a value of zero.
Breakdowns currently hidden: 7.
Data as of 2026-10-22
Frequently asked questions
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 4 875 open Databricks positions — a lot for a specialized platform; demand grows as data platforms move to the lakehouse architecture.