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# Senior Databricks Platform Administrator (REMOTE or Dallas, TX)

- **Company:** cloudingest inc
- **Location:** Dallas, TX, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, User Authentication, Microsoft Azure, Cloud Computing, Cloud Engineering, Databases, Continuous Integration, Github, Identity and Access Management, Python (Programming Language), OAuth, Performance Tuning, Role-Based Access Control, SQL Databases, Systems Integration, Apache Spark, Software Troubleshooting, Data Lakes, Infrastructure Automation Frameworks, Restful APIs, Terraform, Serverless Computing, Jenkins, Databricks
- **Published:** November 13, 2026
- **Apply:** https://www.nettemps.com/us/en/W545B5E8B535A098833.ntap

## About the Role

We are seeking a hands-on Senior Databricks Platform Administrator to manage and support enterprise Databricks environments. The ideal candidate will have strong experience in platform administration, security, governance, automation, performance optimisation, and cloud infrastructure., * 5+ years of platform administration or cloud engineering experience.

 * 3+ years of hands-on Databricks administration experience.
 * Strong expertise with:
 * Unity Catalog
 * Databricks Compute & SQL Warehouses
 * IAM/RBAC and security controls
 * Python, SQL, REST APIs
 * Azure or AWS cloud platforms
 * Terraform and CI/CD pipelines
 * Apache Spark and Delta Lake
 * Networking, SSO, OAuth and identity integrations

Preferred Qualifications

 * Databricks certification(s)
 * Experience with Jenkins, GitHub, and Infrastructure as Code
 * Strong troubleshooting and stakeholder communication skills

## Description

Role: Senior Databricks Platform Administrator Location: Dallas, TX (Onsite or REMOTE) Rate: DOE Job Summary, * Administer Databricks workspaces, clusters, Unity Catalog, permissions, and access controls.

 * Manage storage credentials, external locations, catalogs, and data security policies.
 * Support Databricks compute, SQL Warehouses, and serverless environments.
 * Perform platform upgrades, patching, and environment maintenance.
 * Troubleshoot platform, networking, authentication, and performance issues.
 * Integrate Databricks with Azure/AWS services, databases, APIs, and external systems.
 * Automate administrative processes using Python, SQL, APIs, Terraform, and CI/CD tools.
 * Monitor platform health, utilization, performance, and cost optimization.