Data Architect (AdTech / MarTech/ Retail Media ecosystems)
Menlo Park, California, United States of America
Contract
4 days ago
Key skills
PythonSQLNoSQLAIMLAnalyticsSparkKafkaAirflowKubernetesDockerA/B Testing
About this role
Required Qualifications
BS/MS in Computer Science, Engineering, Data Science, or related field.
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.
Preferred Qualifications
Experience in digital advertising, retail media, audience platforms, or marketing measurement.
Ability to interpret performance metrics, conduct A/B testing, and use analytics tools like Google Analytics 4 (GA4) to track user behavior and Return on Ad Spend (ROAS)
Understanding of Google Ads Scripts or rule-based automation to adjust bids and pause campaigns automatically based on real-time triggers
Exposure to recommendation systems, experimentation, A/B testing, or real-time decisioning.
Knowledge of data privacy frameworks, ad-tech regulations, Kubernetes, Docker, and microservices.