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Lead Data Platform Engineer

Disney, Seattle, WA, United States


At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company is a world‑class entertainment and technological leader. Our enterprise technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross‑company collaborative innovation.

Team Description
The Data Solutions & Products group is part of Enterprise Technology. We design and develop enterprise solutions and manage a diverse portfolio of products and tools related to Data, Analytics and Automation used by business teams across The Walt Disney Company.

What You’ll Do

Lead teams of developers (both Disney Cast Members and external vendors) in major software/data development projects.

Design and develop highly scalable, distributed enterprise data platform solutions.

Design, develop and implement scalable distributed enterprise data platform solutions, focusing on multi‑cluster warehousing, data sharing, and optimized storage.

Write code that establishes and enhances frameworks and design proof of concepts, and review code for correctness and its impact on software architecture.

Lead the development of high‑performance ETL/ELT pipelines using tools like dbt, Python, Airflow and more to integrate diverse data sources.

Provide mentorship and direction to junior software engineers on the team; serve as an advanced resource for other engineers.

Serve as the ongoing technical lead for data platform products (post‑implementation) – lead engineering support, guiding ongoing enhancement projects and the technical product roadmap.

Partner with Data Science, Analytics, and Product teams to ensure the platform meets evolving business requirements.

Establish standards for data modeling (Vault, Star Schema), security (RBAC), and data quality frameworks.

Exhibit excellent communication skills, able to communicate well to both technical and business audiences.

Show strong collaboration skills.

Required Qualifications & Skills

7+ years of professional programming and design experience in Scala, Java, Python, etc.; demonstrated experience designing and developing enterprise data solutions and platforms.

Demonstrated experience leading engineering initiatives on major software and data development projects.

Experience with medallion‑based data lakehouse architectures.

Experience with high‑scale cloud data platforms and with at least one major cloud provider (AWS, Azure, or GCP).

Expert knowledge of data integration, dimensional modeling, and data warehousing techniques.

Experience implementing CI/CD pipelines for data.

Proficiency in Java, SQL.

Experience with Snowflake.

Preferred Qualifications

Experience with enterprise data domains, especially Finance and HR data.

Experience with AI/ML.

Experience with SAP Systems (S4, BW, HANA, BDC).

Experience with EPM Systems (e.g., Oracle EPM).

Experience with Data Governance.

Experience with Master Data Management.

Experience with BI tools.

Required Education

Bachelor’s degree in computer science, information systems, software, electrical or electronics engineering, or comparable field of study, and/or equivalent work experience.

Master’s degree a plus.

Compensation
Hiring range: Burbank, CA – $155,700 – $208,700 per year. Seattle, WA – $163,100 – $218,700 per year. Base pay will take into account internal equity and may vary according to geographic region, knowledge, skills, and experience. A bonus and/or long‑term incentive units may be provided; additional medical, financial and other benefits are offered at the offered level.

Equal Employment Opportunity
The Walt Disney Company and its affiliated companies are Equal Employment Opportunity employers and welcome all job seekers, including those with disabilities and veterans with disabilities. Requests for reasonable accommodation related to the online application system will be responded to accordingly.

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