Site Reliability Engineer

VBeyond Corporation is seeking highly skilled Cloud Data Platform Engineers with deep hands-on expertise across Azure, Databricks, Microsoft Fabric, and Unity Catalog to strengthen their cloud data operations. The role involves managing enterprise-scale data platforms, ensuring secure and reliable cloud environments, and implementing Site Reliability Engineering practices.

Responsibilities:

• 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)
• 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
• 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
• 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
• 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

Requirements:

• 6–12 years in cloud data engineering, SRE, or platform engineering roles
• Strong hands-on expertise with Azure Data Services (ADLS, ADF, Synapse, Key Vault, VNets)
• Strong hands-on expertise with Azure Databricks (clusters, jobs, Delta Lake, DLT, Unity Catalog)
• Strong hands-on expertise with Microsoft Fabric (Lakehouse, Pipelines, Warehouse, Dataflows)
• Strong hands-on expertise with 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
• 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