Electronic Arts

The Data & Insights (D&I) team harnesses the power of data to deliver transformative insights and solutions to EA game teams and players. D&I teams are involved in every aspect of data, driving strategy and governance; building powerful data and AI applications; and developing personalization, experimentation, and analytics tools, and more. When you join D&I, you're joining a team of passionate experts working to enable more profound understanding, better ways of working, and more meaningful experiences for our players.

Responsibilities

• Lead the end-to-end architecture, design and implementation of scalable, high-throughput live service platform components that power multiple EA game studios.

• Partner with cross-functional teams including Content Management & Delivery, Messaging, Segmentation, Recommendation, and Experimentation to streamline and evolve the live services workflow.

• Evaluate and define how EA’s live service platforms, studio technology stacks, and third-party/vendor solutions integrate to meet engineering and business objectives in a scalable and cost-effective manner.

• Own technical design reviews and drive architectural decisions, ensuring solutions are resilient, extensible, secure, and aligned with long-term platform strategy.
  Use large-scale datasets across 20+ game studios to promote data-driven decision-making, experimentation, and continuous optimization.

• Engage with Game Studios, Experience, and Brand organizations to deeply understand use cases, translate business requirements into technical designs, and drive end-to-end solution delivery.

• Collaborate closely with Product Management to prioritize initiatives, define measurable outcomes, and deliver solutions with clear ROI.

• Partner with Program Management to define sprint goals, plan and prioritize work, and own the team’s sprint commitments and delivery outcomes.

• Partner with Legal and Privacy teams to ensure compliance with global regulatory requirements and data governance standards.

• Lead and mentor engineers, providing technical direction, conducting design/code reviews, and fostering engineering excellence.

• Drive stakeholder alignment across multiple teams, locations, and time zones by communicating architecture, trade-offs, risks, and execution plans clearly and effectively.

• Ensure operational excellence for 24/7 live services through proactive monitoring, performance tuning, capacity planning, and incident management.
  
  

Required Skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  7–9 years of relevant industry experience in designing and building scalable distributed systems.

• Strong expertise in software design principles, algorithms, and data structures.

• Proven architectural and system design experience, including hands-on ownership of highly scalable, high-throughput, low-latency systems.

• Demonstrated experience leading high-performing engineering teams (2–3+ years), including mentoring, technical guidance, and driving delivery.

• Strong stakeholder management skills, with experience collaborating across product, engineering, legal, and business teams.

• Proficiency in Java and at least one scripting language (preferably Python).

• Hands-on experience with backend frameworks and technologies (e.g., Spring Boot).

• Experience designing and operating distributed systems using messaging and streaming platforms (e.g., Kafka).

• Strong experience with large-scale data pipelines, personalization platforms, analytics systems, and experimentation frameworks.

• Experience with relational, columnar, and/or document-oriented databases.

• Experience managing high-traffic, 24/7 production systems with complex dependencies in cloud environments, preferably AWS.

• Solid understanding of multi-cloud architectures and large-scale data processing systems.

• Working knowledge of containerization and orchestration technologies (Docker, Kubernetes).

• Experience with observability and monitoring tools (e.g., Prometheus, Grafana).

• Experience with CI/CD pipelines and version control systems (e.g., GitLab CI/CD).

Familiarity with modern software development best practices, including clean code principles, automated testing, CI/CD, and DevOps practices.
Exposure to frontend technologies (HTML, CSS, JavaScript frameworks such as React) is a plus.