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Senior Software Engineer - Data and Analytics

Electronic Arts Inc. is a global leader in interactive entertainment. We develop games, content and online services across platforms. We have a broad portfolio of brands that span the most popular genres.

We exist to Inspire the World to Play. We create extraordinary new game experiences for our millions of players everywhere by bringing together talented people that combine creativity, innovation, and passion. We immerse our employees into an inclusive culture and provide opportunities for learning and leading that allow our employees to do the most impactful and rewarding work of their careers.

As part of the Analytics Solutions team, you will report directly to the systems architect and you will help improve the end-to-end analytics infrastructure used to depict player evolution year-over-year in AAA-titles in a changing technology landscape. You will engage with a wider range of partners including game studios, the EA business at all levels, service operations, technology partners and other cross-functional teams. You will also look at how to develop and provide high-level expertise on the cloud-based infrastructure and the analytics platform contributing to the development of the data strategy and supporting investment plans.

Responsibilities:

• Guide the infrastructure design required for data integration from different data sources incl. using Snowflake, Presto, BigQuery, Kafka and others.
• Analyze the shortcomings of existing components and propose potential design alternatives.
• Collaborate on new ideas to rapidly create and test prototypes.
• Participate in in-depth conversations to understand requirements and priorities and help quickly triage issues.
• Make good, informed decisions around technical debt, 3rd party tools, and tradeoffs rather than reinventing the wheel.
• Work with multiple teams across multiple locations.
• Mentor other engineers on system design techniques, coding standards and professional development.

Qualifications:

• Master's degree in Computer Science, a related technical field, or equivalent practical experience.
• 8+ years of work experience in data and analytics with strong hands-on focus.
• Track record implementing real-time and batch analytics using latest technologies and cloud services such as AWS MKS/EKS/S3, Google PubSub/BigQuery/Spanner, Airflow and Looker.
• Working knowledge of infrastructure automation tools as Terraform and platforms like Kubernetes.
• Experience with major programming languages such as Python and C#.
• Ability to efficiently debug issues with little supervisors' input.
• Bring a "If it can be automated, it will be automated" mentality.

• Experience architecting and developing large-scale distributed systems design.
• Strong ability to benchmark systems, analyze bottlenecks and throttle multiple components to achieve target performance for Service level agreements.
• Solid knowledge of data architectures – data warehousing, data lakehouse, stream processing, reporting and graph analytics.
• Experience doing data modelling – dimensional, data vault, graph structures.
• Understand the physical and logical design of cloud-native database and document stores.
• Advanced SQL experience working with very large data volumes (TB-PB scale).
• Personal interest in solving complex problems that tangibly impact people.