Lead Data Platform Engineer

Lead Data Platform Engineer 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. Enterprise Technology Mission Our mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross‑company collaborative innovation. We drive competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. Team Description The Data Solutions & Products group is part of Enterprise Technology. We are responsible for designing and developing enterprise solutions and managing 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. 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 more junior software engineers on the team; serve as an advanced resource for other engineers on the team. Serve as the ongoing technical lead for data platform products post‑implementation—leading engineering support for the production platform, leading ongoing enhancement projects, and guiding 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. Possess excellent communication skills, able to communicate well to both technical and business audiences. 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 is preferred (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. The hiring range for this position in Burbank, CA is $155,700 – $208,700 per year and in Seattle, WA is $163,100 – $218,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job‑related knowledge, skills, and experience among other factors. A bonus and/or long‑term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. #J-18808-Ljbffr