Moody's Corporation - Databricks Cloud Engineer

Location: 7 World Trade Center, 250 Greenwich Street, New York, NY 10007

Onsite: Hybrid 2 days a week onsite

Compensation: 145k-185k

Benefits: Medical, Dental, Vision, 401K, Equipment, ect.

*Moody’s is looking for an Azure Cloud Engineer with experience integrating Databricks with Azure infrastructure services. This is NOT a Data Engineer – this is someone who has worked on the infrastructure of the Azure platform and has integrated Databricks into the various services within Azure infrastructure.*

Required Skills

• Strong proficiency with core Azure infrastructure services.
• Background in Platform Engineering.
• Hands-on experience with Databricks infrastructure
• Experience integrating Databricks with Azure infrastructure services (Event hub, CosmosDB, etc.)
• Hands-on experience with Cosmos DB and related Azure data services.
• Proficiency in scripting and automation using PowerShell, Python, or Azure CLI.
• Understanding of Azure security, role-based access control (RBAC), and networking

About the Role

We are seeking a Cloud Azure Engineer with a strong background in cloud infrastructure and a specialization in data services. This role is ideal for someone with deep experience in managing Azure-based data systems, including Cosmos DB, and a passion for building scalable and secure data platforms.

Key Responsibilities

• Deploy, configure, and manage Azure infrastructure including VMs, storage accounts, virtual networks, and network security groups.
• Design and manage scalable data solutions using Azure services such as Cosmos DB, Azure SQL, and Data Lake Storage.
• Implement best practices in data availability, redundancy, backup, and disaster recovery.
• Support data ingestion, transformation, and storage pipelines in collaboration with data engineers.
• Monitor performance and optimize database and storage configurations.
• Automate infrastructure deployment using ARM templates, Terraform, or Bicep.
• Collaborate with cross-functional teams in Agile environments using Jira and GitHub.