Databricks Platform Engineer

The Databricks PlatformEngineer is responsible for building maintaining and optimizing the cloud-based data platform that supports analytics reporting and data product development across the organization. This role focuses on the operational side of data engineering including platform administration infrastructure automation data ingestion capabilities governance implementation and platform reliability.

Working independently with limited direction this individual partners with data engineers architects analysts and business stakeholders to ensure the enterprise data platform remains scalable secure and efficient. The ideal candidate combines hands-on experience with Databricks administration cloud infrastructure and data engineering best practices to enable high-quality data solutions.

Key Responsibilities

Data Platform Operations

• Administer and maintain Databricks environments supporting enterprise analytics and data engineering workloads.
• Manage platform configurations cluster performance capacity planning and operational stability.
• Monitor platform health and troubleshoot performance reliability and operational issues.
• Support lifecycle management of platform resources across development testing and production environments.

Cloud Infrastructure & Automation

• Develop and maintain Infrastructure as Code solutions using Terraform.
• Support cloud-based data infrastructure within Azure environments.
• Implement automation to improve platform consistency reliability and operational efficiency.
• Partner with infrastructure and security teams to ensure adherence to enterprise standards.

Data Engineering Enablement

• Build and support data ingestion frameworks and pipelines that enable reliable movement of data across platforms.
• Collaborate with Data Engineers to improve platform capabilities and optimize data processing workloads.
• Support structured and unstructured data workloads within cloud data environments.
• Assist in identifying and resolving data performance bottlenecks.

Governance & Security

• Support data governance initiatives using Databricks Unity Catalog.
• Implement and maintain data access controls permissions and governance standards.
• Ensure compliance with organizational security and data management requirements.
• Contribute to metadata lineage and data quality practices.

Continuous Improvement

• Evaluate new tools technologies and platform capabilities.
• Recommend improvements that enhance scalability reliability and developer productivity.
• Document platform standards operational procedures and support processes.
• Participate in incident response root cause analysis and operational reviews.

Priority will be given to candidates who reside in the Columbus OH metropolitan area.

We are unable to provide sponsorship for this role presently or in the future.

Required Qualifications

• Bachelors degree in Computer Science Information Systems Engineering or related field or equivalent experience.
• 4 years of experience in Data Engineering Data Platform Engineering Cloud Engineering or related disciplines.
• Experience administering Databricks environments.
• Experience with Terraform and Infrastructure as Code practices.
• Experience supporting Azure cloud services and infrastructure.
• Experience developing and maintaining data ingestion solutions.
• Strong SQL and troubleshooting skills.
• Experience supporting production environments and operational workloads.
• Understanding of data modeling data governance and modern data architecture concepts.

Preferred Qualifications

• Experience with Unity Catalog and Databricks governance capabilities.
• Experience supporting Azure Data Lake Snowflake or related cloud data technologies.
• Experience with Python and data engineering automation.
• Experience working in large-scale cloud analytics environments.
• Experience supporting CI/CD and deployment automation practices.
• Healthcare or regulated industry experience.