Cloudops Area(s) of responsibility 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).

- Infrastructure‑as‑Code &
- CI/CD Build and maintain Terraform/Bicep templates for setting 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.
- 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.

Environment

Management, Security &

- Governance Provision and manage Azure data environments with consistent policies and naming standards. Configure RBAC, ACLs, Unity Catalog grants, service principals, network security, Managed Identities . Implement governance standards for data access, lineage, audit logging, compliance, and risk mitigation . Ensure secure connectivity using Private Endpoints, VNET integration, and enterprise IAM controls.
- Monitoring, Observability &
- Platform Reliability (SRE) Implement monitoring and alerting using Azure Monitor, Log Analytics, Databricks Metrics , Fabric Admin APIs. Build runbooks, dashboards, and automated remediation workflows for platform reliability. Conduct performance tuning of data workloads, Fabric pipelines, Databricks jobs, and storage layers. Lead incident management, root‑cause analysis, and environment stabilization efforts.

Experience Level Senior Level

📌 Technical Lead - Data Engineering (Noida)
🏢 Birlasoft
📍 Noida