Description

* Use Terraform and Infrastructure as Code to automate provisioning and platform configuration.
* Partner with Security, Cloud Platform Engineering, Data Engineering, Architecture, and application teams
to ensure platform capabilities are enabled securely and appropriately.
* Evaluate new Databricks features and capabilities and make recommendations for enterprise adoption.

* Support the adoption of emerging Databricks AI/ML and Data Intelligence capabilities.
* Troubleshoot platform issues and work with internal teams and Databricks vendor resources to resolve
complex problems.
* Identify opportunities to improve automation, scalability, reliability, and the overall developer/user
experience of the platform.
* Provide technical guidance and recommendations to teams using or looking to expand their use of
Databricks.
Required Qualifications
* 5+ years of hands-on experience administering, engineering, or supporting Databricks in an enterprise
environment.
* Strong understanding of Databricks administration, platform configuration, access management, and
governance.
* Experience working with Azure cloud environments.
* Strong understanding of security, access controls, data governance, and enterprise technology controls.
* Ability to evaluate new technologies and understand their operational, security, and governance
implications.
Preferred Qualifications
* Experience with newer Databricks capabilities such as Genie, AI/BI, Mosaic AI, machine learning,
model serving, or Data Intelligence.
* Experience enabling AI/ML capabilities within an enterprise environment.
* Experience supporting platforms with sensitive or regulated data, such as PII or PHI.
* Experience with CI/CD, Azure DevOps, GitHub, or other platform automation tools.
* Experience developing reusable Terraform modules or automated

Key Skills

Education

Bachelor's degree