We are looking for a Cloud Platform Engineer with 4 to 5 years of experience to build and run the Azure platform behind an enterprise finance data platform on Azure, Databricks and Snowflake. You will set up and maintain the cloud environments, networking, identity and security services that the data and reporting teams depend on.
KEY RESPONSIBILITIES
Build and maintain Azure environments for development, test and production
Configure networking, including virtual networks, private endpoints and private connectivity to Databricks and Snowflake
Set up and manage Databricks workspaces, clusters, cluster policies and Unity Catalog metastores
Configure Snowflake accounts, warehouses, roles and network policies with the data engineering team
Manage identity and access using Entra ID, PIM and federated access for delivery teams
Manage secrets, keys and certificates in Key Vault and HSM
Set up monitoring and alerting in Azure Monitor and respond to platform incidents
Provision infrastructure as code with Terraform or Bicep through Azure DevOps pipelines
Support Azure Data Factory integration runtimes, API Management, Service Bus and Functions
Track platform costs and apply tagging and usage policies
TECHNICAL SKILLS
Must-have
Azure core services, including networking, storage, compute and resource management
Entra ID, role-based access control and PIM
Key Vault
Databricks workspace administration
Terraform or Bicep
Azure Monitor and Log Analytics
Scripting in PowerShell, Azure CLI or Python
Good-to-have
Snowflake administration
Azure DevOps pipelines
API Management and Service Bus
Informatica secure agent setup
Power Platform workplace administration
DOMAIN KNOWLEDGE
Security and data residency requirements in regulated financial services
Change and access control processes in banking IT
CERTIFICATIONS (POSITIVE TO HAVE)
Microsoft Certified: Azure Administrator Associate (AZ-104)
Microsoft Certified: Azure Network Engineer Associate (AZ-700)
Microsoft Certified: Azure Security Engineer Associate (AZ-500)
EXPERIENCE AND QUALIFICATIONS
4 to 5 years in cloud infrastructure or platform engineering, with at least 2 years on Azure
Hands-on setup of Databricks or Snowflake on Azure in a production setting
Degree in engineering or computer applications (B.E., B.Tech or MCA)