Lead Data Architect
Disney
Lead Data Architect
At Disney, we're storytellers. We make the impossible, possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we're constantly looking for new ways to enhance these exciting experiences.
The Enterprise Technology & Data mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence.
The Data Solutions & Platforms group is part of Enterprise Technology & Data. We are responsible for designing and developing enterprise solutions and managing a diverse portfolio of products and tools related to Data, Analytics, AI and Automation used by business teams across The Walt Disney Company.
The Data Architect position is one of the key roles on the team. You will have the opportunity to lead and influence the architecture for several strategic programs that will shape the future of data, analytics and AI for The Walt Disney Company. Architecting data platforms and designing data products will be a focus for the role in support of the company's Data Unification strategy.
You will be working in a challenging, fast-paced, highly collaborative and rewarding environment, as a member of product and engineering teams that work closely with each other and with business leaders to deliver innovative and industry-leading data solutions.
What You'll Do:
- Architecting high-scale, secure and interoperable data platforms across the enterprise to enable AI and analytics applications
- Architecting data domains and designing data products to be shared across the enterprise
- Architecting cross-segment semantic layer and data catalog solutions
- Designing an agentic architecture for exposing data from enterprise data lakehouse domains to AI applications
- Developing MDM strategy and architecting MDM solutions for complex enterprise domains (e.g., Finance, HR)
Required Qualifications & Skills:
- 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, ability to communicate well to both technical and business audiences
- Strong collaboration skills
Education:
Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
$148.3k - $198.8k
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