Data Architect III
1 month ago
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 involves collaborating with a diverse range of team members, including game studios, tech teams, technology partners, and other teams. Your expertise will be instrumental in shaping the data strategy and supporting investment plans.
Key Responsibilities:
- Work closely with business and technical partners to translate use cases and associated data models into data solutions, ensuring seamless collaboration with data engineering and product management.
- Design and implement data architectures that leverage open table formats like Iceberg, ensuring efficient metadata management and cataloguing for data discovery and governance.
- Develop conceptual, logical, physical, and transformational data models, including 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 the target state for data architecture components towards Data Lakehouse and Data/AI products design.
- Develop data standards in partnership with the Governance Team, including 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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