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Data Architect III

2 months ago

Toronto, Ontario, Canada Electronic Arts Inc. Full time

About the Role

We are seeking a highly skilled Data Architect III to join our team at Electronic Arts Inc. As a key member of our data architecture team, you will play a critical role in developing and implementing data architectures that support our central technology team.

Key Responsibilities

  1. Collaborate with business and technical partners to translate use cases and associated data models into data solutions, bringing them to completion in partnership with data engineering and product management.
  2. Design and implement a data architecture applying open table formats like Iceberg, ensuring metadata management and cataloguing for efficient data discovery and governance.
  3. Develop conceptual, logical, physical, and transformational data models, including appropriate models to support analytics solutions and insights.
  4. Work with teams to implement event-driven architectures and domain-driven design principles for real-time data processing and high-scale data products.
  5. Design distributed workflows and pipelines for seamless real-time data ingestion, transformation, and analysis.
  6. Contribute to target state for data architecture components towards Data Lakehouse and Data/AI products design.
  7. Develop data standards in partnership with the Governance Team, including a common business vocabulary, naming conventions, data standards, and transformation rules.
  8. Design data contracts to ensure data integrity and consistency across domains in a Data Mesh environment with the Software Engineering team.
  9. Ensure completion of tasks, milestones, and components, including functional specifications, design specifications, and project reviews.
  10. Conduct requirements mapping, vendor evaluations, technical proof-of-concept projects, use cases, and test cases.
  11. Document design methodologies, frameworks, principles, and standards.

Requirements

  • Bachelor's Degree in Computer Science, Statistics, or Mathematics, or equivalent experience.
  • 8+ years of work experience with enterprise data warehousing, data management, business intelligence, and large-scale data solutions.
  • Excellent SQL or Python skills.
  • Knowledge with YAML Data modeling.
  • Experience in system cataloguing, metadata management, and Reference Data.
  • Familiarity with Big Data and Data Analytics Stack.
  • Experience with columnar databases, MPP databases (i.e. Snowflake, Google Cloud, Azure, AWS).
  • Understanding of Taxonomies and Ontologies.
  • Knowledge or Experience in Data mesh and Data Lakehouse Designs.
  • Knowledge of data privacy practices and laws (internationally).
  • Experience presenting to business and technical teams, including executive management.
  • This is a non-managerial role.