Lead Analytics Engineer

10 - 14 years

35 - 45 Lacs

Posted:3 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

About the Team

At DAZN, the Analytics Engineering team is at the heart of turning hundreds of data points into meaningful insights that power strategic decisions across the business. From content strategy to product engagement, marketing optimization to revenue intelligence we enable scalable, accurate, and accessible data for every team.

The Role

Lead Analytics Engineer

Key Responsibilities

  • Lead the development and governance

    of DAZNs semantic data models to support consistent, reusable reporting metrics.
  • Architect efficient, scalable data transformations

    on

    Snowflake

    using

    SQL/DBT

    and best practices in data warehousing.
  • Manage and enhance pipeline orchestration

    with

    Airflow

    , ensuring timely and reliable data delivery.
  • Collaborate with stakeholders across Product, Finance, Marketing, and Technology to translate requirements into robust data models.
  • Define and drive

    best practices

    in version control, testing, CI/CD for analytics workflows.
  • Mentor and support

    junior engineers, fostering a culture of technical excellence and continuous improvement.
  • Champion data quality, documentation, and observability across the analytics layer.

You'll Need to Have

  • 10+ years of experience in data/analytics engineering, with

    2+ years leading or mentoring engineers

    .
  • Deep expertise in

    SQL

    and cloud data warehouses (preferably

    Snowflake

    ) and

    Cloud Services(AWS /GCP/AZURE)

  • Proven experience with

    dbt

    for data modeling and transformation.
  • Hands-on experience with

    Airflow

    (or similar orchestrators like Prefect, Luigi).
  • Strong understanding of dimensional modeling, ELT best practices, and data governance principles.
  • Ability to balance hands-on development with leadership and stakeholder management.
  • Clear communication skills you can explain technical concepts to both technical and non-technical teams.

Nice to Have

  • Experience in the

    media, OTT, or sports tech

    domain.
  • Familiarity with BI tools like Looker or PowerBI.
  • Exposure to testing frameworks like

    dbt tests

    or

    Great Expectations


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