Data Architect III

3 weeks ago

Old Toronto, Ontario, Canada 2K Full time
Job Title: Data Architect III

As a key member of the Adrenaline team at 2K, you will play a crucial role in developing data architectures that support the central technology team. This position requires collaboration with a wide range of team members, including game studios, tech teams, technology partners, and other teams. You will also provide high-level subject matter expertise on our products' journey, contributing to the development of the data strategy and supporting investment plans.

Key Responsibilities:

  • 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 the 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 the 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's 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 of 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.

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