Cloud Engineer

Job description

**Relevant Titles:** Cloud Data Platform Engineer **Role Summary:** We are hiring experienced Cloud Data Platform Engineers with strong hands-on expertise in Azure, Databricks, and Microsoft Fabric. This is a pure engineering role focused on building, automating, and operating scalable, secure, and cost-efficient data platforms. **Key Responsibilities:** - Manage Azure data services (ADLS, ADF, Synapse, Key Vault, VNets) and Databricks environments (clusters, jobs, Delta Lake, Unity Catalog). - Deploy and operate Microsoft Fabric components (Lakehouse, Pipelines, Warehouses). - Build IaC solutions using Terraform/Bicep and implement CI/CD pipelines (Azure DevOps/GitHub). - Drive FinOps initiatives: cost optimization, monitoring, and capacity planning. - Implement security, governance, and access control (RBAC, ACLs, Unity Catalog). - Set up monitoring, alerting, and reliability practices (SRE, incident management, RCA). **Required Skills:** - 6–12 years of experience in Cloud Data Engineering / Platform / SRE roles - Strong expertise in Azure Data Services, Databricks, and Microsoft Fabric - Hands-on with Terraform/Bicep and CI/CD pipelines - Proficiency in Python, SQL, PySpark, and scripting (PowerShell/Bash) - Experience in cost optimization (FinOps) and platform reliability (SRE practices) **Nice to Have:** - Azure / Databricks / DevOps / FinOps certifications - Experience in regulated industries (BFSI, Healthcare, Retail) - Knowledge of zero-trust security models