Architecte Des Données III / Data Architect

Job Description

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As part of Adrenaline team, you will develop data architectures which will support the central technology team. You will engage with a wider range of team members including game studios, tech teams, technology partners, and other teams. You will also look at how to provide high-level subject matter expertise on our products journey, contributing to the development of the data strategy and supporting investment plans. You will report to the Director of Data Architecture.

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

Qualifications:
• Bachelor Degree in CS/Statistics/Math 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 modelling
• 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.

Ceci ne s'applique pas au Québec. 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). BASE SALARY RANGES
• British Columbia (depending on location e.g. Vancouver vs. Victoria)
• $107,600 - $147,100 CAD

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.

Jobcode: Reference SBJ-rzwem1-18-117-10-207-42 in your application.