Overview

Burbank, CA, USA
The Walt Disney Company
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world.

The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. The Enterprise Technology organization drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence.

This role is part of the Enterprise Business Systems (EBS) organization. Our mission is to provide business technology solutions for the enterprise that empower growth, and enhance value across brands, geographies and organizations.

The Data Solutions & Architecture group is part of the Enterprise Technology organization. We are responsible for architecting, developing and managing the data platforms, data integrations and reporting and analytics solutions for The Walt Disney Company’s enterprise business data. We are experts at architecting and building highly scalable data and analytics solutions that meet the business requirements of the groups across the company we support.

As part of our team, you will be working with a full range of data technologies and architectures including big data platforms, enterprise data warehouses, pub/sub data messaging, master data management, AI/ML predictive analytics, Robotics Process Automation, and multiple reporting and analytics frameworks and tools.

You will be working in a complex, challenging, fast-paced and rewarding environment, with other like-minded peers who are solutions and results oriented, and who enjoy collaboration. Besides being experts in their respective fields, our architects and developers are smart, curious, innovative, solutions-oriented, respectful, highly collaborative and continuous learners.

  • MS Computer Science or related technology field
  • BS Computer Science or related technology field

Skills & Key Attributes

  • 1-3 years developing enterprise data solutions
  • Expertise in data engineering, data design and data modeling
  • Expertise in data integration
  • Expertise with all aspects of data management: data governance, data mastering, meta-data management, data taxonomies and ontologies
  • Expertise in developing and delivering highly-scalable and flexible, cost effective, cloud-based enterprise data solutions
  • Expertise developing secure and compliant data solutions
  • Current with new technologies and vendor solutions available in the marketplace
  • Fluency in cloud based data storage and analytics offerings
  • Strong collaboration skills and ability to establish and manage effective working relationships in a matrixed organizational structure
  • Good communication and presentation skills, both oral and written. Ability to communicate well to both technical and business audiences.
  • Innovative thinking and embraces innovation by constantly seeking new or contrary ideas and approaches to what has been done in the past. Thinks big and broad, without being constrained by existing norms or business models.
  • Results oriented, biased toward action
  • Keeps fluent in new technologies and successful sharing with peers and introducing new technologies
  • Chooses optimism and calls out cynicism and unproductive behavior
  • Demonstrates stamina, resilience and perseverance under trying circumstances

Experience

  • Experience in engineering and data modeling
  • Experience in data integration
  • Experience data modeling in multiple platforms including experience with HANA data modeling
  • Experience developing data integration solutions using common data integration best practices including: APIs, Messaging Bus, Pub-Sub, ETL
  • Experience with data security and compliance
  • Experience and with data lifecycle management, data-tiering and data archiving
  • Experience with Finance and HCM data and business domains is a plus
  • Proven track record of execution–driving results and meeting commitments.
  • Data design and modeling and developing data models across all of the organization’s data systems, especially the design of data in the major data platforms (data warehouses, data lakes, master data management systems).
  • Developing data integration solutions using common data integration best practices including: APIs, Messaging Bus, Pub-Sub, ETL
  • Developing highly-scalable and flexible, cost-effective enterprise data solutions
  • Developing secure and compliant data solutions
  • Keeping fluent in the industry and marketplace evolution–staying current with vendor product offerings and common and emerging data solutions in use across the industry; continuously learning new data technologies and introducing these into the organization
  • Cross-training peers and mentoring teammates

Required Education :

  • BS Computer Science or related technology field

Preferred Education :

Skills & Key Attributes

  • 1-3 years developing enterprise data solutions
  • Expertise in data engineering, data design and data modeling
  • Expertise in data integration
  • Expertise with all aspects of data management: data governance, data mastering, meta-data management, data taxonomies and ontologies
  • Expertise in developing and delivering highly-scalable and flexible, cost effective, cloud-based enterprise data solutions
  • Expertise developing secure and compliant data solutions
  • Current with new technologies and vendor solutions available in the marketplace
  • Fluency in cloud based data storage and analytics offerings
  • Strong collaboration skills and ability to establish and manage effective working relationships in a matrixed organizational structure
  • Good communication and presentation skills, both oral and written. Ability to communicate well to both technical and business audiences.
  • Innovative thinking and embraces innovation by constantly seeking new or contrary ideas and approaches to what has been done in the past. Thinks big and broad, without being constrained by existing norms or business models.
  • Results oriented, biased toward action
  • Keeps fluent in new technologies and successful sharing with peers and introducing new technologies
  • Chooses optimism and calls out cynicism and unproductive behavior
  • Demonstrates stamina, resilience and perseverance under trying circumstances

Experience

  • Experience in engineering and data modeling
  • Experience in data integration
  • Experience data modeling in multiple platforms including experience with HANA data modeling
  • Experience developing data integration solutions using common data integration best practices including: APIs, Messaging Bus, Pub-Sub, ETL
  • Experience with data security and compliance
  • Experience and with data lifecycle management, data-tiering and data archiving
  • Experience with Finance and HCM data and business domains is a plus
  • Proven track record of execution–driving results and meeting commitments.

Company Overview :
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