Description

Key Responsibilities:

• Lead architecture for batch and real-time AdTech data platforms supporting delivery, Ad targeting, audience intelligence, and analytics.
• Design scalable data models and distributed systems for personalization, bidding, attribution, fraud detection, and measurement.
• Drive engineering decisions across ingestion, ETL/ELT, streaming, storage, and Data Science models using Spark, Kafka and Python.
• Partner cross-functionally to deliver reliable, privacy-aware, cost-efficient platforms while mentoring teams and guiding technical direction.
• 10+ years in software/data/platform engineering with strong AdTech expertise across ad serving, targeting, bidding, attribution, and measurement.
• Expertise in generating insights, experimentation and optimization to characterize performance
• Expert in Streaming data, Python and Spark; proven success building large-scale distributed data platforms and production-grade data pipelines.
• Good understanding of enterprise system architecture
• Hands-on with Spark, Kafka, HBase, Hive, Presto, Flink, Airflow/Beam, SQL/NoSQL, cloud platforms, and AI/ML data enablement

Key Skills

Education

Bachelor's degree