Own the health, security, and governance of the Databricks environment
Manage, scale, and optimize computing clusters for data science and ML workloads
Configure workspaces, access controls, and network settings
Ensure high availability and reliability of analytics workloads
Monitor platform performance; build dashboards/alerts for cluster efficiency and job success
Enable and improve data ingestion, transformation, and model execution workflows
Build self-service tools to provision notebooks, clusters, and environments; drive automation to reduce toil
Manage Unity Catalog rollout/adoption for data discovery, lineage, and access governance
Review workspace configurations, cluster policies, and user permissions to maintain security
Support audit and compliance for data governance across Databricks
Partner with data and ML teams to optimize platform experience and unblock workflows
Coordinate with Cloud DevOps on AWS infrastructure, networking, and IAM dependencies

5+ years in Databricks administration or engineering, or in a closely related data platform role
Strong Databricks workspace administration skills, including cluster policies, permissions, Unity Catalog, Jobs/Workflows, and networking
Familiarity with AWS services supporting Databricks deployments (S3, IAM, VPC, EC2)
Experience with data pipelines and orchestration tools (dbt, Airflow, Fivetran, Delta Live Tables)
Proficiency in Python and SQL; familiarity with Spark
Understanding of modern data governance and access control patterns (RBAC, data classification)
Bachelor’s degree in a STEM field
Upper-Intermediate English level

30 paid days off each year — use them for vacation, holidays, or personal time
5 paid sick days, up to 60 days of medical leave, and 6 paid days off for family events like weddings, funerals, or having a baby
Partially covered health insurance
after probation
Wellness bonus for gym memberships, sports nutrition, and similar needs

Databricks Platform Administrator

Key skills