Principal Data Architect

If you're passionate about crafting the next generation of large-scale data products at Disney, join us! We are seeking a highly skilled data architect to design, develop, and maintain the organization's long- and short-term strategic goals. The ideal candidate will have a proven background in data modeling, data management, data governance, and data integration practices, enabling them to guide teams in delivering high-quality, performant, and robust data solutions. The candidate will define and guide the implementation of the enterprise data architecture strategy, providing architecture frameworks for how data is used at all levels of the organization. They expected to collaborate with multi-functional teams and communicate effectively with technical and non-technical team members.

• Responsible for the end-to-end data architecture approach for Data Products and Platforms which brings together data across numerous environments and transforms it into insights using highly available data pipelines
• Design and develop flexible, scalable, and resilient data organization methodologies balancing industry leading techniques with business needs and goals
• Create and maintain documentation for the company's architecture diagrams, data reference architecture, data flows, data models, design, and implementation plans which are used as technical specifications for data streams, integrations, transformations, and data warehouses
• Collaborate with teams to help them build data solutions that can be used seamlessly by understanding their needs and crafting new features and capabilities to better serve them
• Stay up-to-date on the latest trends and new technologies in data management and data architecture.
• Provide technical mentorship and guidance to other members of the team
• Continue to improve the performance and approach to data distribution services, which includes eventing, APIs, and an analytics layer
• Understand the challenges of the current state, influence engineering strategy, suggest suitable new capabilities, features, and functionality
• Develop and maintain data standards and policies.
• Manage data governance processes and ensure data quality and security.

• Proven track record with large-scale, high availability, and real-time data pipelines, as well as data management, modeling, and storage
• Recent experience in building large scale data platforms on cloud using AWS and Snowflake required
• Prior experience with crafting data presentation and organization strategies within a Lakehouse
• Deep experience with cloud data lakes and datastores (e.g. AWS Lake, Snowflake, DynamoDB)
• Deep knowledge of microservices architecture and API development and deployment
• Solid understanding of data modeling concepts such as entity-relationship diagrams, dimensional modeling, and data normalization.
• Experience in designing and implementing conceptual, logical, and physical data models that align with business requirements and support efficient and effective data integration, data warehousing, and data analysis.
• Knowledge and experience in designing and implementing data governance policies, procedures, and standards
• Excellent communicator and partnership skills with the ability to interface and influence at multiple levels
• Solid grasp and believer of agile development approaches, including DevOps concepts.

• Bachelor's degree in Computer Science, Engineering, Information Technology, or related field

• Master's degree in Computer Science, Engineering, Information Technology, or related field