DBA (Databricks)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 23h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 24d ago
The date the source published, not the day we noticed it (2026-10-09). Last seen at its source just now.
We have tracked this listing since 18 Oct 2026 (14 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Not stated
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
JazzHR employer's own board first seen 14d ago · last seen just now
The listing
We are looking for an experienced DBA (Databricks) for a long-term project. The customer is a company in California, an industry leader in the sale of tickets to events in Europe and the USA.
We offer 100% remote, full-time work.
- Manage multiple Databricks workspaces (dev/qa/prod);
- Configure cluster policies, governance & compliance;
- Create & maintain unity catalog objects: catalogs, schemas, grants, service principals, external storage etc;
- Monitor and debug failed / long-running jobs using system tables (job_run_timeline, node_timeline, workflow_run);
- Troubleshoot cluster crashes, driver OOM, executor failures, memory leaks;
- Investigate Python / Spark errors, dependency conflicts (PyPI, WHL, Maven)
- Assist users with cluster/job configuration, notebook errors, unity catalog permissions;
- Explain platform limitations and best practices to Data engineers;
- Maintain confluence pages with platform rules & troubleshooting guides;
- Experience in implementation, integration or technical support;
- Experience with Linux, Bash;
- Confident SQL skills;
- Strong experience of working with AWS Infrastructure (ec2, s3, iam, vpc, secret management, sqs);
- Experience with Python sufficient for writing small scripts or applications;
- Experience of maintaining Databricks jobs & environments;
- Experience with REST API/SDK;
- Understanding of file-based databases (DeltaLake, Parquet, Hive);
- Understanding of of cluster types & node families;
- Spoken English at Intermediate level or higher;
- Databricks REST API / Databricks SDK;
- Working with schema evolution, time travel, vacuum, compaction, z-order;
- Debugging corrupted delta tables (conflicting commits, tombstones, missing checkpoints);
- Understanding of acid implementation on top of object storage;
- Spark knowledge (jobs, partitions, queries), experience in Kafka or similar technology, familiarity with Terraform / Gitlab CI;
- Cost monitoring for platform services and objects;
- Experience in enterprise Data platforms;
- Nearshore candidates preferred, with availability to work EST or Pacific Time hours
- Remote work with no time trackers, flexible working hours
- Full-time (8 hours/day)
- Attractive USD compensation
- Paid vacation, holidays, sick leaves