Data Engineer Lead

9 - 14 years

19 - 34 Lacs

Posted:4 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Greetings for the Day!!!

Director, Data Engineering Lead to be associated with a Global Digital Media Agency.

Location:

Shift:

Role & responsibilities

Director, Data Engineering Lead

Leadership & Team Management

  • Lead, mentor, and grow a team of

    data engineers and architects

    .
  • Foster a

    high-performance culture

    focused on innovation, collaboration, and delivery excellence.
  • Drive career development, coaching, and upskilling of team members.

Data Engineering & Architecture

  • Architect and implement

    data lakes, data warehouses, and marts

    on modern cloud platforms.
  • Lead design of

    scalable data pipelines, real-time and batch processing solutions

    .
  • Oversee

    data governance, quality, lineage, and compliance

    .
  • Ensure integration of

    structured, semi-structured, and unstructured data

    sources.

Cloud & Tools

  • Leverage cloud technologies:

    AWS, Azure, or GCP

    .
  • Work with modern platforms:

    Snowflake, Redshift, BigQuery, Databricks

    .
  • Implement

    orchestration frameworks

    (Airflow, Luigi, etc.) and optimize performance.
  • Support CI/CD adoption for

    data pipelines and infrastructure automation

    .

Stakeholder & Cross-Functional Collaboration

  • Partner with

    Product, Business, and Analytics teams

    to align data strategies with business goals.
  • Manage global stakeholder expectations with clear communication.
  • Ensure data solutions are aligned with

    enterprise architecture

    and compliance standards.

Preferred candidate profile

  • Experience

    : 12+ years in data engineering with at least 5 years in a leadership role.
  • Education

    : Bachelors or Masters in Computer Science, Engineering, or related field.
  • Technical Skills

    :
    • Strong in

      ETL, data modeling, and pipeline development

      .
    • Hands-on with

      Snowflake, Redshift, BigQuery, Data Lakes, and Data Warehouses

      .
    • Expertise in

      Spark, Hadoop, Kafka

      and programming languages (

      Python, Scala, SQL, Java

      ).
    • Cloud exposure to

      AWS Glue, Azure Data Factory, GCP BigQuery

      .
    • Proficiency in

      CI/CD, Infrastructure-as-Code (Terraform, Cloud Formation)

      .

Interested candidates kindly share your updated resume to james.lobo@mappyresources.com

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