Data & Cloud Platform Operations Manager

8 - 12 years

10 - 20 Lacs

Posted:4 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

About role :

We're seeking a skilled Manager/Senior Manager of Data & Cloud Platform Operations to lead our teams and promote architectural excellence. This key role involves driving the strategy and execution of Data Engineering on the Cloud. An ideal candidate would have 8-12 years of experience in IT consulting focused on AI & Analytics on Microsoft Azure.

Responsibilities

  • Lead and manage teams responsible for design, development, and operational excellence of scalable data pipelines and data warehouses.
  • Drive the maturity and adoption of advanced DevOps practices, including CI/CD, Infrastructure as Code (IaC), automation, comprehensive monitoring, and Site Reliability Engineering (SRE) for all cloud services.
  • Establish and enforce stringent Security and Compliance standards across all cloud infrastructure, data operations, and applications, ensuring adherence to industry regulations and best practices.
  • Oversee the strategic planning, deployment, and lifecycle management of Azure Infrastructure, optimizing for performance, cost, resilience, and high availability.
  • Collaborate closely with software engineering and data science teams to ensure seamless integration and operational readiness of AI & Analytics solutions.
  • Mentor, coach, and develop a high-performing team of DevOps engineers, data engineers, and cloud architects.

Qualifications

  • Bachelor's or Master's degree in Computer Science, or a related field.
  • 8-12 years of experience in IT operations, data engineering, or cloud infrastructure roles, with at least 3-5 years in a Manager/Architect role.
  • Extensive hands-on experience with

    Microsoft Azure

    services, including IaaS, PaaS, networking, security, and data services.
  • Proven expertise in designing and managing

    Data Engineering Pipelines and Data Warehouses

    , with strong practical experience using

    PySpark and Kafka

    .
  • Proven ability to design High-Level Architecture and create

    Low-Level System Designs

  • Deep understanding and practical experience with

    DevOps

    methodologies and tools (e.g., Azure DevOps, Terraform, Ansible, Kubernetes).
  • Strong knowledge of

    Security and Compliance

    frameworks (e.g., ISO 27001, GDPR, HIPAA) and their implementation in cloud environments.
  • Demonstrable experience in leading platform

    Scaling

    and

    Cloud Cost Optimization

    initiatives.
  • Advanced proficiency in

    SQL

    and

    Python

    for operational and data engineering tasks.
  • Azure certifications (e.g., Azure Solutions Architect Expert) are highly desirable.
  • Exceptional analytical, problem-solving, and communication skills.

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