Service Delivery Lead

10 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

We are looking for a Service Delivery Lead with 10+ years of IT experience, strong ITIL-based service delivery expertise, and proven ability in production support and cloud data platforms. The role involves managing shifts, incidents, and changes while leading teams, driving client engagement, and leveraging Databricks, ADF, and Data Engineering practices.


Roles and Responsibilities


  • Prepare Weekly Status Reports (WSRs) by tracking SLAs, KPIs, and service delivery metrics.
  • Participate in due diligence, prepare questionnaires to capture volumetrics, and scope of client support requirements.
  • Analyze support requirements, prepare effort estimations, and review with SDMs & leadership.
  • Oversee day-to-day support operations across L1, L2, and L3 teams; guide engineers.
  • Act as a mentor, offering coaching, training, and oversight to support engineers.
  • Lead

    incident management

    processes, ensuring timely resolution and root cause analysis.
  • Drive

    change management

    activities, coordinating with stakeholders to minimize risk and downtime.
  • Handle

    team management

    responsibilities, including mentoring and coaching.
  • Ensure ITIL-based service delivery processes are followed and continuously improved.


External Skills And Expertise


  • Strong communication and stakeholder management skills.
  • Hands-on experience with

    DevOps tools, monitoring tools, and automation suites

    .
  • Solid knowledge of

    ETL/Data Engineering batch ecosystems

    and cloud platforms (

    AWS, Azure, GCP

    ).
  • Proficiency in scripting languages (

    Shell, Python, PySpark

    ).
  • Familiarity with

    Agile methodologies

    and collaborative practices.
  • Expertise in

    Databricks, Azure Data Factory (ADF), Apache Spark, and Delta Lake

    .
  • Strong understanding of

    cloud data systems/platforms

    and modern data architectures.

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Santa Clara CA

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