Job Description: Cloud Data Platform Engineer / SRE (Azure | Databricks | Fabric | Unity Catalog)
Role Overview
We are seeking highly skilled Cloud Data Platform Engineers (4–5 resources) with deep hands-on expertise across Azure, Databricks, Microsoft Fabric, and Unity Catalog to strengthen our cloud data operations. These roles demand technical execution, not coordination—requiring strong engineering capabilities in infrastructure automation, FinOps, CI/CD, platform governance, environment management, and Site Reliability Engineering (SRE) practices.
The ideal candidates will have proven experience managing enterprise-scale data platforms, ensuring secure, reliable, cost-efficient, and well-governed cloud environments.

Key Responsibilities
1. Cloud Platform Operations
Manage and optimize Azure workloads—ADLS, VNets, Key Vault, ADF, Synapse, Fabric, Databricks.
Configure and maintain Databricks clusters, jobs, DLT pipelines, Delta Lake storage, and Unity Catalog policies.
Operationalize Fabric Lakehouses, Pipelines, Warehouses, and Semantic Models for production workloads.




Ensure robust platform governance across environments (DEV–QA–UAT–PROD).
2. Infrastructure‑as‑Code & CI/CD
Build and maintain Terraform/Bicep templates for environment provisioning and configuration.
Develop end-to-end CI/CD pipelines for Databricks, Fabric, and Azure components (ADO/GitHub).
Automate deployment of notebooks, workflows, access policies, networking components, and Fabric artifacts.
Enforce version control, release governance, and quality gates.
3. FinOps, Cost Management & Capacity Planning
Implement FinOps dashboards, alerts, budgets, and spend governance practices.
Perform Databricks and Fabric cost optimization—cluster sizing, autoscaling, idle management, job tuning.
Conduct capacity planning for compute, storage, Fabric engines, and Databricks workloads.
Develop cost-saving recommendations and automated consumption monitoring.
4. Workplace Management, Security & Governance

📌 Cloud Engineer (Noida)
🏢 Birlasoft
📍 Noida