Title: Azure Databricks Developer
Area(s) of responsibility
Job Title: Cloud Data Platform Engineer / SRE (Azure | Databricks)
Keywords- Cloud Engineer, Azure, Devops ,Databricks & Storage Account
Relevant Titles:
Cloud Data Platform Engineer | Databricks Engineer | Azure DevOps Engineer | DataOps/SRE 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.
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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).
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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)
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Nice to Have:
• Azure / Databricks / DevOps / FinOps certifications
• Experience in regulated industries (BFSI, Healthcare, Retail)
• Knowledge of zero-trust security models