Reporting to the Senior Data Science Manager, we are seeking a seasoned Data Engineer to design and architect high-impact, end-to-end data pipelines that deliver actionable business insights. As a key member of our multidisciplinary team, you will bridge the gap between complex technical engineering and strategic business objectives. The ideal candidate thrives in a dynamic environment, balancing hands‑on development with architectural leadership. You will be responsible for creating robust data models, managing scalable infrastructure, and collaborating directly with stakeholders to translate complex requirements into resilient, high-performance data solutions.

Your Responsibilities

- Data Architecture & Modeling: Lead the design and implementation of robust, scalable data architectures and conceptual/logical data models that support complex analytical requirements and future business growth.
- End-to-End Pipeline Ownership: Own the entire data lifecycle, from initial requirement gathering to the deployment and maintenance of high-performance, resilient ETL/ELT pipelines and data processing workflows.
- Technical Strategy & Execution: Address sophisticated data engineering challenges including data ingestion, storage strategies, and reliability by building modular, maintainable, and highly available systems.
- System Maintenance & Scalability: Oversee the deployment and optimization of batch and real-time processing frameworks, ensuring data quality, performance tuning, and robust alerting mechanisms.
- Cross-Functional Communication: Serve as a bridge between technical and business teams; clearly translate complex architectural trade-offs,



technical designs, and project constraints to non-technical stakeholders to ensure alignment on strategic data initiatives.

Your Qualifications

- 4-6+ years of relevant experience, with a blend of technical engineering and strategic architectural leadership.
- Strategic Data Architecture: Proven expertise in designing resilient data architectures and conceptual/logical models that accommodate complex analytical needs and scale with future business growth.
- Advanced Database Systems: Deep technical proficiency in architecting, managing, and optimizing high-performance SQL and No‑SQL database environments.
- Big Data Ecosystem Expertise: Extensive experience building and operating distributed systems leveraging technologies such as Trino, Spark, and Kafka.
- Software Engineering Excellence: Advanced programming skills in Python, C#, or Scala, developing clean, modular, production‑grade code.
- Cloud Infrastructure & Scaling: Hands‑on experience deploying and scaling data infrastructure within cloud environments, strong preference for AWS.
- Resilient Pipeline Orchestration: Proven ability to engineer and maintain robust ETL/ELT pipelines and data workflows using industry‑standard tools like Airflow.
- AI/BI & Data Governance:



Experience delivering AI‑driven insights and self‑service intelligence via Alation AI, Databricks AI/BI, or similar services, championing data cataloging and governance to ensure high‑quality, actionable data.

Compensation and Benefits

Pay Transparency - North America

Pay Ranges

- British Columbia (depending on location e.g. Vancouver vs. Victoria) $122,300 – $170,700 CAD

Pay is just one part of the overall compensation at EA.

For Canada, 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.

Equal Opportunity Employment

Electronic Arts is an equal chance employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

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📌 Data Engineer - EA Sports FC (Vancouver)
🏢 Electronic Arts
📍 Vancouver