Job Description: Data Engineering Manager

Location: Vancouver (Hybrid)

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 Engineering Manager, you will lead a team of engineers building the platforms and pipelines that power EA’s infrastructure, services and analytics. You will combine technical depth in modern data engineering with the leadership needed to scale people, processes, and systems. Your focus will be on guiding the design of large-scale data solutions while developing a high-performing engineering culture, having an impact on the way people play EA Games. You will report directly to a Director in IPS.

We offer a collaborative environment in our Vancouver B.C. campus. You will work with a distributed team across multiple regions in a hybrid working environment (three days in office)

Responsibilities

• Lead a team of data engineers, setting clear goals, coaching for career development, and fostering a culture of ownership, learning, and collaboration.

• Drive engineering excellence by establishing best practices for design reviews, testing, CI/CD, and documentation.
  
  

• Act as a multiplier—developing strong technical leads within the team and scaling impact through mentorship.
  
  

• Provide technical direction in areas like data modeling, streaming/batch pipeline design, and data warehouse/lakehouse optimization.
  
  

• Ensure data systems support advanced analytics, AI/ML, and observability use cases
  
  

• Drive operational excellence in production environments—monitoring reliability, cost efficiency, and performance of data platforms.

• Evaluate emerging data technologies and practices (lakehouse, Iceberg, data mesh, MLOps, serverless analytics) and determine how they fit EA’s needs.
  
  

The next great EA Data Engineering Manager also needs:

• 7+ years of professional experience in data engineering or data architecture, with at least 2+ years in a people leadership role.
  
  

• Proven success in building and managing high-performing engineering teams.
  
  

• Strong technical background in large-scale data systems (BigQuery, Snowflake, Spark, Kafka, Flink, etc.).
  
  

• Experience delivering complex data platforms that supported critical business decisions or analytics capabilities.
  
  

• Familiarity with data governance, security, and compliance at scale.
  
  

• Strong communication and collaboration skills, with the ability to influence across distributed teams and senior leadership.
  
  

• A balance of hands-on technical knowledge and the ability to empower others to execute.

COMPENSATION AND BENEFITS

The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). 

PAY RANGES

In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.