Current opportunity

Lead Data Engineering

DAZN·India - Hyderabad
TechnologyOn-siteOfficial source · DAZN PinpointPosted 11h agoLast checked 6h ago
FunctionTechnology
WorkplaceOn-site
Job typeFull-Time Permanent
Department61-416 - Technology - Hyderabad
SportSports Media / Streaming / Technology

About the role

Why Join DAZN? Joining DAZN in Hyderabad means being part of a cutting-edge sports streaming company in a vibrant tech hub. You’ll work alongside passionate, talented professionals on innovative projects that reach millions of fans worldwide. Hyderabad offers a dynamic work environment with a great balance of career growth and lifestyle. If you’re excited about shaping the future of live and on-demand sports entertainment, DAZN Hyderabad is the perfect place to make your mark and grow your career.

Key Responsibilities

  • Lead the development and governance of DAZN’s 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.

Skills, Knowledge & Expertise

  • 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.

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