Platform Administrator (Databricks)

Nitka Technologies; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Remote work

Paid vacation

Holidays

Competitive USD compensation

Job summary

Nitka Technologies develops software for customers in the US and Europe and brings together about 300 professionals from Eastern Europe, North and South America, Armenia, Georgia and Kazakhstan. We are looking for an experienced Platform Administrator (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.

Qualifications

• Experience in implementation, integration or technical support.
• Experience with Linux, Bash.
• Confident SQL skills.
• Strong experience with AWS (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 cluster types & node families.
• Spoken English at Intermediate level or higher.

Responsibilities

• 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.

Skills

Linux

Bash

SQL

Python

English communication

Tools

Databricks

AWS

Terraform

GitLab CI

Kafka

Job description

Nitka Technologies develops software for customers in the US and Europe and brings together about 300 professionals from Eastern Europe, North and South America, Armenia, Georgia and Kazakhstan.

We are looking for an experienced Platform Administrator (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.

Main tasks:

• 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;

Requirements:

• 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;

Would be a plus:

• DatabricksREST API/ DatabricksSDK;
• Working with schema evolution, time travel, vacuum, compaction, z-order;
• Debugging corrupted delta tables (conflicting commits, tombstones, missing checkpoints);
• Understanding of acidimplementationon 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;

Working conditions:

• Remote work;
• Full-time (8 hours/day);
• Attractive USD compensation;
• Paid vacation, holidays.