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Descriere și cerințe
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.