Lead - Data Engineering, Digital Business (Mumbai/ Bangalore)

Role involves leading SonyLIV's data engineering strategy, architecting scalable data infrastructure, driving innovation in data processing, ensuring operational excellence, and fostering a high-performance team to enable data-driven insights for OTT content and user engagement.

Position - Lead - Data Engineering, Digital Business

Location - Bangalore or Mumbai (WFO)

Experience - 10+ years

Responsibilities:

• Define the Technical Vision for Scalable Data Infrastructure: Establish a robust technical strategy for SonyLIV' s data and analytics platform, architecting a scalable, high performance data ecosystem using modern technologies like Spark, Kafka, Snowflake, and cloud services (AWS/GCP).

• Lead Innovation in Data Processing and Architecture: Advance SonyLIV' s data engineering practices by implementing real-time data processing, optimized ETL pipelines, and streaming analytics through tools like Apache Airflow, Spark, and Kubernetes. Enable high-speed data processing to support real-time insights for content and user engagement.

• Ensure Operational Excellence in Data Systems: Set and enforce standards for data reliability, privacy, and performance. Define SLAs for production data processes, using monitoring tools (Grafana, Prometheus) to maintain system health and quickly resolve issues.

• Build and Mentor a High-Caliber Data Engineering Team: Recruit and lead a skilled team with strengths in distributed computing, cloud infrastructure, and data security. Foster a collaborative and innovative culture, focused on technical excellence and efficiency.

• Collaborate with Cross-Functional Teams: Partner closely with Data Scientists, Software Engineers, and Product Managers to deliver scalable data solutions for personalization algorithms, recommendation engines, and content analytics.

• Architect and Manage Production Data Models and Pipelines: Design and launch production-ready data models and pipelines capable of supporting millions of users. Utilize advanced storage and retrieval solutions like Hive, Presto, and BigQuery to ensure efficient data access.

• Drive Data Quality and Business Insights: Implement automated quality frameworks to maintain data accuracy and reliability.

• Oversee the creation of BI dashboards and data visualizations using tools like Tableau and Looker, providing actionable insights into user engagement and content performance.

• This role offers the opportunity to lead SonyLIV’s data engineering strategy, driving technological innovation and operational excellence while enabling data-driven decisions that shape the future of OTT entertainment.

Minimum Qualifications:

• 15+ years of progressive experience in data engineering, business intelligence, and data warehousing, including significant expertise in high-volume, real-time data environments. Proven track record in building, scaling, and managing large data engineering teams (10+ members), including experience managing managers and guiding teams through complex data challenges.

• Demonstrated success in designing and implementing scalable data architectures, with hands-on experience using modern data technologies (e.g., Spark, Kafka, Redshift, Snowflake, BigQuery) for data ingestion, transformation, and storage.

Industries:Entertainment, Facilities Services, Mechanical Or Industrial Engineering