Newbridge Hiring! Full Time AI Data Platform Lead in - Ricebowl

Our client operates a high-scale consumer platform reaching millions of users globally. The company is investing heavily in its data foundation to power programmatic advertising, personalized recommendations, and marketplace analytics. The data team is expanding to support billions of daily events and petabyte-scale datasets across advertising and ecommerce.

Note - This is not 100% management role and handson experience is mandatory. Talents with no experience in team management will be considered.

Team Management - 20%

Individual work - 80%

Key Responsibilities

• Design, build, and operate batch + streaming ETL/ELT pipelines ingesting 100TB+ daily from ad servers, mobile SDKs, transactional systems, and 3rd party APIs
• Develop real-time jobs using Spark Streaming, Flink, or Kafka Streams for fraud detection, bid optimization, dynamic pricing, and personalization
• Model and optimize datasets on the data lakehouse to serve BI, analytics, and ML use cases
• Implement data quality, anomaly detection, observability, and lineage for Tier-0 datasets powering revenue and user experience
• Partner with Data Science, Product, and Engineering to deliver end-to-end data products

Required Qualifications

• Proven experience building large-scale data systems for programmatic advertising, digital media, marketplaces, or consumer internet platforms
• Expert-level SQL and strong programming in Python, Scala, or Java
• Hands-on production experience with distributed processing: Spark, Kafka, Flink, or equivalent
• Deep expertise with cloud data platforms: BigQuery, Snowflake, Databricks, Redshift, AWS/GCP/Azure
• Strong data modeling skills: dimensional, Data Vault, or lakehouse architectures for analytics and ML
• Track record handling high-volume, semi-structured, late-arriving event data at TB-PB scale

Preferred Domain Experience

• Programmatic Advertising: DSP/SSP infrastructure, impression/click/conversion pipelines, SKAN, MMM/MTA, conversion APIs, identity resolution, signal loss mitigation
• Ecommerce/Marketplace: Product catalog & taxonomy, pricing experimentation, inventory forecasting, seller performance analytics, search & recommendation data
• ML Data: Feature stores like Feast/Tecton, online-offline feature parity, point-in-time correctness, training data infrastructure
• 8+ years designing distributed data systems with 50+ downstream engineers/analysts as customers
• Experience in AI native data infrastructure platform will be an advantage.
• Experience leading 0-1 architecture for critical domains such as real-time advertising, attribution, or marketplace analytics
• Demonstrated impact on data infrastructure cost optimization at $1M+ annual cloud spend
• Knowledge of privacy-enhancing technologies: differential privacy, data clean rooms, secure multi-party compute