Lead Data Engineering
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Summary
Lead Data Engineer at DAZN's Hyderabad office who owns semantic data models and scalable Snowflake transformations using SQL/dbt, manages Airflow pipeline orchestration, drives data quality and CI/CD best practices, and mentors junior engineers while partnering with Product, Finance, and Marketing stakeholders.
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.
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.
- 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.
- 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.