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    Job · 22541871

    BirlaSoft logo

    Cloud Engineer

    BirlaSoft · Noida · hybrid · Posted today

    ₹22.5L - ₹37.5L PA8–13 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    We are seeking highly skilled Cloud Data Platform Engineers (45 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.

    It was pleasure speaking to you as discussed invite has been shared with you for Monday 11 AM and sent in a sperate email and below is JD.

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

    Operationalize Fabric Lakehouses, Pipelines, Warehouses, and Semantic Models for production workloads.
    Ensure robust platform governance across environments (DEV–QA–UAT–PROD).
    2. InfrastructureasCode & 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, rootcause analysis, and environment stabilization efforts.

    Required Skills & Experience
    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)
    Azure Databricks (clusters, jobs, Delta Lake, DLT, Unity Catalog)
    Microsoft Fabric (Lakehouse, Pipelines, Warehouse, Dataflows)
    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.

    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.

    Suitable Job Titles
    Cloud Data Platform Engineer
    Databricks Platform Engineer
    Azure/Fabric DevOps Engineer
    Cloud DataOps / SRE Engineer
    Platform Reliability Engineer (Data Platforms)

    Sourced from naukri

    Skills

    CloudOpsDatabricksMicrosoft Azure

    About Birlasoft

    BirlaSoft logo

    BirlaSoft

    IT Services & Consulting

    10.9k+

    employees

    1995

    31 years old

    Pune, Maharashtra

    India

    ₹22.5L – ₹37.5L PA

    This role

    About

    Birlasoft combines the power of a domain, enterprise, and digital technologies to reimagine business potential. Surpassing expectations, breaking convention!

    Industries

    IT Services & Consulting

    Employee ratings

    3,764 reviews

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    Culture

    3.3

    Career growth

    2.6

    Work-life

    3.6

    Employees rate it well for

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