Description

You will own the design, implementation, and maintenance of scalable cloud platforms on Azure, focusing on data analytics infrastructure and automated delivery pipelines.

Responsibilities

• Build and configure Azure infrastructure, including Data Factory, storage, key vaults, virtual networking, and virtual machines.
• Automate infrastructure deployment using Infrastructure as Code (IaC) and CI/CD pipelines via Azure DevOps.
• Implement, monitor, and maintain cloud-based data and analytics platforms such as Databricks and Snowflake.
• Troubleshoot and resolve environment performance, connectivity, and security issues while driving efficient resolution for system outages.
• Execute cost-saving strategies for cloud services and evaluate scaling requirements within the Azure environment.

Required Skills

• 5+ years of Cloud Platform Engineering or DevOps experience in an enterprise-level environment.
• Advanced proficiency with Python, SQL, and PowerShell.
• Hands-on experience with Infrastructure as Code tools, specifically Bicep or Terraform.
• Strong working knowledge of Azure DevOps, GitHub, and CI/CD pipeline implementation.
• Experience designing and developing scalable services consumed by the enterprise.
• Ability to balance priorities across multiple teams and products with a leadership mindset.
• Experience working in an Agile/Scrum setting with a focus on continuous integration and automated testing.
• Excellent communication skills, with the ability to adapt to various audience types and document technical solutions.

Preferred Skills

• Bachelor's degree in Computer Science or equivalent area.
• Experience with Azure cost management, forecasting, and serverless computing.
• Azure Administrator, Solution Architect, Databricks Platform Administrator, or SnowPro certifications.

Key Skills

Education

Any Graduate