Electronic Arts

The Office of the CXO (Chief Experience Officer) is at the forefront of EA's transformation to become a player-first organization. Our CRM Engineering team plays a central role in enabling 1:1, personalized, real-time communication across EA's global ecosystem. This includes omni-channel content delivery through EA.com, email, and in-game messaging, backed by modern MarTech infrastructure and marketing science.

As a Data Engineer – CRM Engineering, reporting to the Technical Director of CRM Engineering, you will be responsible for building and maintaining the data infrastructure that powers EA's AI-driven marketing personalization at scale. You will design and implement robust ETL pipelines, data warehousing solutions, and analytics frameworks that enable real-time player insights, marketing recommendations, and campaign measurement across EA's global player base of hundreds of millions of users.

Responsibilities

• Design, build, and maintain scalable ETL pipelines to ingest player activity data, marketing interactions, and campaign performance metrics from multiple sources across EA's ecosystem.

• Develop and optimize a marketing data warehouse architecture that supports real-time analytics, player segmentation, and personalization engines.

• Implement data quality frameworks, monitoring systems, and automated testing to ensure data accuracy and pipeline reliability.

• Create and maintain APIs and data services that enable self-service analytics for marketing teams and campaign managers.

• Build measurement and reporting frameworks that track campaign effectiveness, player engagement metrics, and ROI across channels.

• Partner with Engineering teams to ensure data infrastructure can scale with EA's growing player base and marketing complexity.

• Implement data governance practices, including privacy compliance (GDPR, CCPA) and security protocols for sensitive player data.

• Optimize data storage, query performance, and cost efficiency across cloud-based data platforms.

Qualifications

Required:

• 5+ years of data engineering experience with focus on large-scale data systems and ETL development

• Strong proficiency in SQL, Python, and data processing frameworks (Spark, Kafka, Airflow, or similar)

• Experience with cloud data platforms (AWS Redshift, Snowflake, BigQuery) and modern data stack tools

• Hands-on experience building and maintaining data pipelines for high-volume, real-time data ingestion

• Proficiency with data modeling, dimensional modeling, and data warehouse design principles

• Experience with APIs, microservices, and event-driven data architectures

• Strong understanding of data quality, monitoring, and observability practices

• Knowledge of data governance, privacy regulations, and security best practices

Preferred:

• Experience with marketing data sources (CRM systems, email platforms, web analytics)

• Familiarity with gaming or entertainment industry data patterns and player behavior analytics

• Experience with streaming data processing and real-time analytics platforms

• Knowledge of A/B testing frameworks and experimentation measurement systems

• Understanding of machine learning data requirements and feature engineering

• Previous work with consumer-facing applications handling millions of daily active users