Senior Data Architect, Enterprise Data & AI

Disney Media & Entertainment Distribution; Burbank, Orlando, Seattle (CA, FL, WA); In loco; CAD 207.000 - 305.000; Tempo pieno

Descrizione del lavoro

Disney Media & Entertainment Distribution is seeking a Lead Data Architect to shape enterprise data platforms, catalogs, and AI-ready data products. You will lead cross-functional teams, design scalable architectures, and drive the Data Unification strategy across the company.

The role requires strong communication and collaboration skills, with experience in high-scale cloud data environments, data governance, and master data management.

Competenze

• 7+ years experience in data architecture and developing enterprise data, analytics and AI solutions.
• Experience architecting and developing high-scale cloud data platforms.
• Experience architecting and developing master data management solutions.
• Experience with data governance.
• Experience with Snowflake.
• Experience with AI/ML.
• Strong communication skills to explain complex topics to technical and business audiences.
• Strong collaboration skills.

Mansioni

• Architect high-scale, secure and interoperable data platforms across the enterprise to enable AI and analytics applications.
• Architect data domains and design data products to be shared across the enterprise.
• Architect cross-segment semantic layer and data catalog solutions.
• Design agentic architecture for exposing data from enterprise data lakehouse domains to AI applications.
• Develop MDM strategy and architect MDM solutions for complex enterprise domains (e.g., Finance, HR).

Conoscenze

Data architecture

Cloud data platforms

AI/ML

Data governance

Communication

Collaboration

Formazione

Bachelor's degree or equivalent

Strumenti

Snowflake

AI/ML tools

Descrizione del lavoro

Disney Media & Entertainment Distribution is seeking a Lead Data Architect to shape enterprise data platforms, catalogs, and AI-ready data products. You will lead cross-functional teams, design scalable architectures, and drive the Data Unification strategy across the company.

The role requires strong communication and collaboration skills, with experience in high-scale cloud data environments, data governance, and master data management.