Electronic Arts

Requisition Number:185973

Can this position be remote?: No

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

Software Engineer - Data Platform

Electronic Arts, we are a global team of creators, storytellers, technologists, experience originators, innovators and so

much more. We believe amazing games and experiences start with teams as diverse as the players and communities we

serve. At Electronic Arts, the only limit is your imagination.

The EA Digital Platform (EADP) group is the core powering global EA digital ecosystem. We provide the foundation for all

of EA’s incredible games and player experiences with high-level platforms like Cloud, Commerce, Data and AI, Gameplay

Services, Identity and Social. By providing central, reusable capabilities that game teams can easily integrate into and rely

on, we help them focus on making some of the best games in the world and creating meaningful relationships with our

players. We’re behind the curtain, making it all work together. Come power the future of play with us.

The EADP - Data&AI team owns and operates a unified, versatile Data Platform that caters to a variety of needs across

EA such as Data, Analytics, Data Science (ML, AI) and Player Life Cycle Management (LCM). High fidelity Data Pipelines,

Tools and Technologies used to collect, ingest, process and deliver data/insights at multi-petabyte(s) scale across

franchises at Electronic Arts. This modern, cross-cloud stack combines the power of open source and vendor tech to

meet the ever growing Data and AI demand at EA. Our data platform powers the future of game development,

marketing, sales

Responsibilities:

• Build, Scale and Operate unified data platform/components that handles data at scale end to end. High fidelity

collection mechanism, Data pipelines that extract and process massive amounts of data, Robust data delivery

channels that deliver data in any cadence (RT, NRT, Mini-batch, Batch etc.) are all part of the massive ecosystem.

• Develop Data Engineering infrastructure, software, pipelines on a modern, cloud based distributed data platform

that harnesses the power of open source and vendor technologies such as Spark, Hadoop/MapReduce, Trino,

Kafka, Storm, Flink, Airflow etc.

• Develop federated consumption mechanisms such as connectors for raw data access, robust APIs, bulk data

delivery mechanisms to a variety of destinations that serve consumers all across EA (20+ Game studios) to fuel

business insights and intelligence.

• Build large-scale repositories that deliver time sensitive data to power LCM (Player Life Cycle Management)

personalize player experience and drive meaningful business growth.

• Build data observability stack/tools to detect anomalies, monitor, track and forecast potential areas of failures.
• Build quantitative and qualitative KPIs to monitor the business impact of our data platform deliveries.
• Have a strong analytics mindset to develop complex queries to solve deep data mining problems.
• Build workflows on large scale analytical Data Warehouses like Snowflake, Redshift, Big Query etc.
• Collaborate with Product Management effectively to understand customer demand and build disciplined

engineering specs for design and development.

Requirements:

• Solid foundation in Computer Science, with competencies in algorithms, data structures, and software design.
• Bachelor’s degree in Computer Science writing clean reusable code, test-driven development and CI/CD.
• Fluency with an Object-oriented language including Java/C++, Python, SQL.
• Fast prototyping skills, familiarity with scripting languages such as bash, awk, or python.
• Experience with distributed data platforms/systems serving large concurrent requests is preferred.
• Experience working with large-scale analytical systems and data platforms/warehouses is preferred.
• Experience with Spark, MapReduce, Hadoop, Hive, Trino or other NoSQL stacks is preferred.
• Experience with data modeling and BI tools is preferred.

About Electronic Arts

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We take a holistic approach with our benefits program, focusing on physical, emotional, financial, career, and community wellness to support a balanced life with paid time off and new parent leave, plus free games and so much more. We nurture environments where our teams can always bring their best to what they do.

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

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