Electronic Arts-posted 5 months ago
$129,500 - $171,800/Yr
Full-time • Senior
Kirkland, WA
5,001-10,000 employees
Publishing Industries

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. Data Architect III Location: Vancouver The IPS (Infrastructure, Platform, and Services) organization provides the essential platforms and infrastructure solutions that power EA's live services and titles. Our mission is to ensure EA's games and services are available to all players, anytime and anywhere. We focus on high availability, scalability, and reliability of infrastructure and services, enabling rapid development and experimentation for our studios in the cloud and in the data center. As a Data Architect III, you will be responsible for designing and implementing large-scale data solutions that support EA's live services and analytics needs. You will architect and optimize data platforms, data lakes, and data warehouses, enabling advanced analytics, AI, and machine learning capabilities across hundreds of games and millions of players. You will report directly to a Senior Director IPS. We offer a collaborative environment in our Kirkland WA facility, located near beautiful Caroline Point. You will work with a distributed team across multiple regions.

  • Define logical and physical data models, implement a centralized metadata/catalog solution and enforce a semantic layer for self-service analytics.
  • Design, build and optimize both batch ELT/ETL and real-time streaming pipelines for high throughput and low latency.
  • Lead selection, implementation and tuning of cloud data warehouses, lakehouses, and NoSQL, including performance- and cost-optimizations.
  • Collaborate with Data Science/ML Engineering to provision feature stores, experiment tracking, and MLOps pipelines.
  • Establish and enforce data governance standards, data-quality frameworks, access controls, encryption, and compliance across all environments.
  • Continuously research, prototype, and recommend emerging technologies to improve agility, performance, and TCO.
  • Serve as the data-infrastructure liaison to Product, Engineering, Analytics, and Operations.
  • Coach and guide data engineers on best practices, foster documentation culture, and evangelize data-driven decision making across the organization.
  • 7+ years of professional experience in data architecture, data engineering, or related fields.
  • Deep expertise in large-scale database systems.
  • Strong background in batch ETL/ELT and streaming data architectures.
  • Familiarity with AI/ML data pipelines and supporting infrastructure.
  • Proficiency in Python.
  • Has shipped an analytics platform that solved key business decisions with data driven insights.
  • Experience with data governance, security, and compliance in large organizations.
  • Excellent communication and collaboration skills, with a track record of working in distributed teams.
  • Paid time off (3 weeks per year to start)
  • 80 hours per year of sick time
  • 16 paid company holidays per year
  • 10 weeks paid time off to bond with baby
  • Medical/dental/vision insurance
  • Life insurance
  • Disability insurance
  • 401(k) to regular full-time employees
  • Certain roles may also be eligible for bonus and equity
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