Area(s) of responsibility

Job Description: Cloud Data Platform Engineer / SRE (Azure | Databricks | Fabric | Unity Catalog)

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Key Responsibilities
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 workplace 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.
Workplace 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 Met

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