ABOUT THE ROLE
We are seeking a Senior Cloud Engineer to design, implement, and administer the Azure
infrastructure behind an enterprise data and AI platform — centered on Azure Databricks, ADLS
Gen2, Azure Data Factory, and Azure Machine Learning. This person will own the platform
foundation (infrastructure as code, network and identity architecture, compute governance,
observability, and cost management) and partner closely with Databricks administration, data
engineering, and data science teams.
This role suits an engineer who enjoys being the technical reference point for a platform — setting
architectural direction, partnering with adjacent teams on complex problems, and translating
business requirements into platform capabilities.
KEY RESPONSIBILITIES
• Infrastructure as Code (Terraform-first): Author and maintain reusable Terraform modules
provisioning the Azure data estate — Databricks workspaces, ADLS Gen2, Data Factory, Key
Vault, networking, and Azure ML; own remote state, module versioning, and drift detection.




• Network & Security Architecture: Design private networking and security posture — private
endpoints, hub-and-spoke topology, VNet injection, NSGs/firewall rules, managed identities,
Key Vault-backed secrets, RBAC, and data exfiltration controls.
• Data Lake Infrastructure: Own ADLS Gen2 at the infrastructure layer — storage architecture,
hierarchical namespace, ACL strategy, lifecycle/tiering, encryption, and access patterns.
• Observability & Reliability: Build and maintain the monitoring layer — Azure Monitor, Log
Analytics, diagnostics, alerting, and operational runbooks.
• FinOps & Capacity Planning: Own cost visibility and optimization across DBU and storage spend
— tagging, chargeback/showback, budget alerts, and capacity planning.
• CI/CD & Workplace Management: Own deployment pipelines and the promotion path across
dev, test, and production environments.
• Databricks

📌 Senior Cloud Engineer (Kozhikode)
🏢 MP Dominic
📍 Kozhikode