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
