paycor
Databricks Platform Engineer
Changeis
Remote, USA
Full-time
Senior Level
Remote
Discovered 1 weeks ago
Free
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Position Overview
We are seeking an experienced candidate to manage, maintain, secure, and optimize our enterprise Databricks environment.
The ideal candidate will have at least six years of experience in cloud data platforms, data engineering infrastructure, or platform administration, including strong hands-on experience supporting Databricks.
The Databricks Administrator will work closely with data engineers, data scientists, developers, security teams, and cloud infrastructure teams to ensure the platform is secure, reliable, scalable, and cost-effective.
Key Responsibilities
- Administer and support Databricks workspaces, clusters, jobs, notebooks, pools, SQL warehouses, and related platform services.
- Configure and manage user accounts, groups, roles, permissions, service principals, and access controls.
- Implement and maintain security standards using Unity Catalog, role-based access controls, credential management, and data-governance policies.
- Monitor platform availability, cluster performance, job execution, resource utilization, and system health.
- Troubleshoot failed jobs, cluster issues, connectivity problems, performance bottlenecks, and access-related incidents.
- Configure and optimize clusters, instance pools, autoscaling, and compute policies to improve performance and control costs.
- Support Databricks integrations with cloud storage, databases, business intelligence platforms, APIs, and enterprise applications.
- Manage platform configurations across development, testing, staging, and production environments.
- Support automated deployment and infrastructure-management processes using CI/CD and Infrastructure as Code.
- Develop monitoring dashboards, alerts, audit reports, and operational documentation.
- Conduct platform upgrades, configuration changes, testing, and release activities.
- Partner with cybersecurity and governance teams to support auditing, compliance, logging, and data-protection requirements.
- Establish platform standards, administrative procedures, naming conventions, and operational best practices.
- Provide technical support and guidance to data engineers, analysts, data scientists, and application teams.
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