Cloudops

Area(s) of responsibility

Job Description: Cloud Data Platform Engineer / SRE (Azure | Databricks | Fabric | Unity Catalog)
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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. 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.
5. 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.
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Required Skills & Experience
•    6–12 years in cloud data engineering, SRE, or platform engineering roles.
•    Strong hands-on expertise with: 
o    Azure Data Services (ADLS, ADF, Synapse, Key Vault, VNets)
o    Azure Databricks (clusters, jobs, Delta Lake, DLT, Unity Catalog)
o    Microsoft Fabric (Lakehouse, Pipelines, Warehouse, Dataflows)
o    Unity Catalog governance (catalogs, schemas, access policies, lineage)
•    Strong scripting and automation experience: Python, PowerShell, Bash, SQL, PySpark.
•    Experience with Terraform/Bicep for IaC.
•    Strong knowledge of Azure DevOps or GitHub Actions CI/CD pipelines.
•    Proven FinOps experience with cost governance and optimization across cloud workloads.
•    Experience in SRE practices—SLIs, SLOs, operational readiness, automated recovery.
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Preferred Qualifications
•    Certifications in Azure Data Engineer, Azure DevOps Engineer, Databricks Data Engineer, FinOps Practitioner.
•    Experience in highly regulated environments (BFSI, Healthcare, Retail).
•    Understanding of zero-trust security models.