Azure Databricks DevOps Lead - Remote

Overview

An Azure Databricks DevOps Lead is needed to design, architect, and optimize Azure-based data solutions in a leadership role.

In Short

• Lead the design and optimization of Azure-based Data Lakehouse platforms.
• Architect Databricks Pipelines for large-scale data processing.
• Manage Azure infrastructure components such as Databricks and AKS/ACI.
• Implement monitoring frameworks using Azure Monitor and Grafana.
• Drive automation and CI/CD processes using Terraform and Azure DevOps.
• Collaborate with internal teams for scalable and secure data solutions.
• 9+ years in Data & Analytics and 5+ years in DevOps with Azure.
• Strong expertise in Apache Spark, Delta Lake, and Azure Services.
• Hands-on experience with Infrastructure-as-Code and scripting.
• Familiarity with Data Governance and Security practices.

Requirements

• 9+ years in Data & Analytics.
• 5+ years of DevOps experience with Azure & Databricks.
• Expertise in Apache Spark, Delta Lake, and Azure Services.
• Experience with Infrastructure-as-Code and scripting (Python, Bash).
• Familiarity with Data Governance, Security, and Cost Optimization.

Benefits

• Opportunity to lead internal projects in a growing tech company.
• Work in a fully remote environment.
• Collaborate with a diverse team of professionals.
• Engage in cutting-edge technologies and practices.
• Flexible working hours and a supportive work culture.