Principal Data Architect

$180,700 - $242,300/Yr

Disney Experiences - Orlando, FL

Full-time - Senior

Orlando, FL

About the position

The Principal Data Architect role at Disney Experiences (DX) Tech & Digital focuses on driving advanced data architectures specifically for Generative AI applications. This position is responsible for delivering high-quality AI solutions within strategic projects, collaborating with cross-functional teams to enhance the digital experience across Disney's vacation brands. The role requires expertise in designing scalable data architectures and ensuring the ethical use of AI technologies.

Responsibilities

• Assess internal and external business and product requirements to provide innovative solutions for generative AI applications.
• Design, develop, and lead the implementation of advanced, scalable generative AI architectures, including data pipelines and model training frameworks.
• Integrate automation methodologies like big data, AI, and machine learning to ensure data quality and security for generative AI models.
• Stay updated on generative AI research and development to improve model performance and efficiency.
• Establish design and governance frameworks for the ethical use of generative AI technologies.
• Engage in estimation planning and provide technical recommendations during planning activities.
• Communicate complex AI concepts to both technical and non-technical audiences.
• Monitor and optimize generative AI solutions to meet business objectives.
• Document and share knowledge to foster continuous learning within the team.
• Operationalize best practices around vector search technologies like neo4j, Vertex Search, Elastic Search, and Weaviate.
• Evaluate NLP outcomes with data science metrics and implement feedback loops into the data pipeline.

Requirements

• 10+ years related work experience.
• Proven experience in designing and building scalable data architectures for machine learning/AI applications.
• In-depth knowledge of generative AI models (e.g., GANs, VAEs) and their applications.
• Experience with RAG, vector stores, semantic search, chunking strategies, embedding models, and large data handling for LLMs.
• Strong understanding of data engineering principles and best practices (e.g., data cleansing, transformation, feature engineering).
• Experience working with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
• Excellent communication, collaboration, and problem-solving skills.
• Ability to translate business needs into technical solutions.
• Passion for innovation and a commitment to ethical AI development.
• Experience building LLMs pipeline using frameworks like LangChain, LlamaIndex, Semantic Kernel, OpenAI functions.
• Familiarity with different LLM parameters and evaluation metrics.

Nice-to-haves

• Master's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study.

Benefits

• Medical benefits
• Financial benefits
• Bonus and/or long-term incentive units may be provided as part of the compensation package.