Job Description

As part of Adrenaline team, you will develop data architectures which will support to depict player evolution year-over-year in AAA titles in a changing technology landscape. You will engage with us and a wider range of team members including game studios, the EA business at all levels, analysts, technology partners, and other teams. You will also look at how to develop and provide high-level subject matter expertise on the analytics platform contributing to the development of the data strategy and supporting investment plans. You will report to Director of Data Architecture.

What you will do:

• Work with Business and technical team members to define use case and associated data models into data products and bring them to completion with data engineering, product management and other teams .
• Translate strategic requirements into a usable data architecture, which includes data model, associated metadata, data linage, and taxonomies to guide product development.
• Develop conceptual, logical, physical, and transformational data models while promoting best practices.
• Contribute to the managing, modelling, cleansing, enriching, transforming, integration, backup, retention, archiving and delivery of data within EA.
• Ensure data quality by developing and publishing data standards such as a common business vocabulary, naming conventions, data standards and transformation rules.
• Architect technical roadmaps and frameworks to address data opportunities or challenges, including data quality, modelling, BI, ML and other data products while identifying architecture inconsistencies/compliance.
• Ensure completion of tasks, milestones, and components, including functional specifications, design specifications, configurations, quality assurance, implementations, and project reviews
• Conduct requirements mapping, vendor evaluations, technical proof-of-concept projects, use cases and test cases.
• Document data frameworks, principles and standards.

Qualifications:

• Bachelor Degree in CS/Statistics/Math or equivalent experience
• 5+ years of work experience with enterprise data warehousing, data management, business intelligence and large-scale data solutions
• Knowledge in Reference Data, Data Quality, Metadata Management
• Familiarity with Big Data and Data Analytics technologies
• Experience with OLAP, columnar databases, MPP databases (i.e. Snowflake, Databricks, Google Cloud)
• knowledge of data privacy practices and laws (internationally)
• Experience in data modelling techniques and documentation.
• Passion to build quality products for massive scale in a collaborative and agile environment, and an excitement to learn

BC COMPENSATION AND BENEFITS

The base salary ranges listed below are for the defined geographic market pay zones in these locations. If you reside outside of these locations, a recruiter will advise on the base salary range and benefits for your specific location.

EA has listed the base salary ranges it in good faith expects to pay applicants for this role in the locations listed, as of the time of this posting. Salary offered will be determined based on numerous relevant business and candidate factors including, for example, education, qualifications, certifications, experience, skills, geographic location, and business or organizational needs.

BASE SALARY RANGES

• British Columbia (depending on location e.g. Vancouver vs. Victoria):

\xc2\xba $77,600 - $130,500 CAN Annually

Base salary is just one part of the overall compensation at EA. We also 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.

Electronic Arts