General informationName Databricks Platform Administrator
Posting Title Databricks Platform Administrator
Ref # 2237813
Date Published Thursday, October 29, 2026
City Charlotte
State North Carolina
Country United States
Job Category Internal Firm Services
Advertised Location US-GA-Atlanta, US-IN-Indianapolis, US-MO-Kansas City, US-MO-Springfield, US-NC-Charlotte, US-NC-Raleigh, US-TX-Dallas
Working time Full Time
Description & RequirementsWe are seeking a Databricks Platform Administrator to operate, secure, and continuously improve the Databricks Intelligence Platform at the center of the firm's data strategy. This position is responsible for the health and administration of the platform, with a strong focus on security, access management, monitoring, governance, performance, cost optimization, and operational reliability.
Working closely with data engineers, enterprise architects, security teams, cloud teams, and other technology partners, the Databricks Platform Administrator will help establish and automate platform standards, controls, and operational practices. These efforts will enable teams to deliver data, analytics, and AI solutions securely and efficiently at enterprise scale.
What You Will Do:- Administer and support the enterprise Databricks platform, including workspaces, compute resources, configurations, and platform services
- Manage platform security, identity, access controls, and least-privilege standards
- Administer Unity Catalog and implement secure, governed access to enterprise data
- Maintain platform monitoring, reliability, performance, availability, and operational support
- Establish and maintain standards for compute resources, cluster policies, runtimes, libraries, and platform configurations
- Monitor and optimize platform utilization, performance, and cost
- Automate platform configurations and deployments using Terraform, Git, APIs, and CI/CD practices
- Implement and support data governance, auditing, monitoring, lineage, and compliance controls
- Support cloud security practices, including networking, encryption, secrets management, and private connectivity
- Partner with Enterprise Architecture, Security, Cloud, Data Engineering, and AI teams to maintain enterprise platform standards
- Document platform configurations, operational procedures, technical standards, and troubleshooting processes
- Support the security and governance requirements associated with AI, machine learning, and other AI-driven workload
Minimum Qualifications:- Five or more years of relevant technology experience
- Experience administering and supporting the Databricks platform
- Knowledge of Databricks security, Unity Catalog, role-based access control, attribute-based access control, identity management, and least-privilege access
- Experience with data governance, auditing, monitoring, lineage, and compliance controls
- Knowledge of cloud security, networking, encryption, secrets management, and private connectivity
- Experience working in a major cloud environment, such as Microsoft Azure, Amazon Web Services, or Google Cloud Platform
- Experience with Terraform, GitLab, Jira, Azure DevOps, CI/CD pipelines, APIs, and platform automation
- Knowledge of Databricks compute resources, SQL warehouses, jobs, storage, performance optimization, and cost management
- Working knowledge of Databricks AI capabilities and the security and governance considerations associated with AI and machine-learning workloads
- Strong troubleshooting, documentation, communication, and collaboration skills
- Ability to work effectively across Data Engineering, AI, Enterprise Architecture, Cloud, Security, and other technology teams
Preferred Qualifications:- Bachelor's degree in information technology, computer science, engineering, data systems, or a related field
- Databricks professional certification
- Databricks platform administration experience in an enterprise environment
- Experience administering Databricks within Microsoft Azure
- Experience implementing Unity Catalog across multiple workspaces or business teams
- Experience automating Databricks platform deployments and configurations through infrastructure as code
- Experience supporting governed data, analytics, AI, or machine-learning platforms at enterprise scale
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