Principal Architect, Data Platforms

  • The Walt Disney Company
  • Burbank, CA, USA
  • Oct 18, 2018
Full-time Business Analytics Data Analysis Digital Media Forecasting Market Research

Job Description

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.

The Data Platforms position is one of the key architect roles on team. You will have the opportunity to be integrally involved in and influence the architecture of many complex and high-profile projects that will shape the future of data, reporting and analytics for The Walt Disney Company.

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.
  • Master’s degree in Computer Science or related field
  • Bachelor’s degree in Computer Science or related field
  • Experience with specific BI Tools: Tableau, Power BI, SAP BusinessObjects, Cognos
  • Experience and background in AI/ML and predictive analytics
  • 10 years plus experience architecting enterprise data solutions
  • 10 years of hands-on data platform design and development in large-scale and complex environments
Technical Skills
  • Expertise architecting and delivering highly-scalable, distributed, cloud-based enterprise data solutions
  • In-depth experience with big data platforms, enterprise data warehouses, and reporting & analytics solutions
  • Experience with SAP HANA
  • Experience working with BI reporting and analytics tools
  • Experience with data modeling
  • Experience with semantic layer design
  • Fluent understanding of data security and compliance requirements and experience designing data solutions that are secure and compliant
  • Fluency architecting and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams)
  • Understanding and experience with Solutions Architecture methodology and practices
  • Ability to translate business requirements into conceptual and detailed technology solutions
  • Ability to perform third-party vendor assessments
  • Ability to develop and lead proof-of-concepts
  • Focused on delivering practical, working solutions (no ivory tower solutions)
  • Practical experience designing data solutions in multiple models and technologies: relational, no-SQL, big data, graph DB, unstructured and structured
  • Experience and expertise with data lifecycle management, data-tiering and data archiving
  • Functional understanding of cloud data storage and analytics offerings
  • Experience migrating legacy systems to modern solutions
  • Familiarity and working experience with common data integration patterns and processes including: ETL, APIs, Messaging Bus, Pub-Sub, flat files
  • Experience with Hadoop, MapReduce, Spark, R, Python, SQL
  • Experience and expertise with all aspects of data management: data governance, data mastering, meta-data management, data taxonomies and ontologies
Non-Technical Skills
  • Strong collaboration skills
  • Ability to “influence without authority”
  • Strong communication skills, both oral and written. Ability to communicate well to both technical and business audiences.
  • Thinks strategically
  • Innovative thinking and embraces innovation by constantly seeking new or contrary ideas and approaches to what has been done in the past
  • Results oriented, biased toward action
  • Keeps fluent in new technologies and successful sharing with peers and introducing new technologies into the organization
  • Good at managing relationships with colleagues and stakeholders outside the organization
  • Not afraid to take risks
  • Creates enduring excitement about what is possible, while setting direction and driving results
  • Thinks big and broad, without being constrained by existing norms or business models
  • Recognizes diverse backgrounds, points of view, and cultural histories that directly impact the organization’s ability to innovate
  • Challenges teams – and self, to deliver the very best in everything they doSeeks differing points of view
  • Architecting highly-scalable, distributed enterprise data solutions with focus on big data platforms and enterprise data warehouses for reporting & analytics
  • Designing and developing highly scalable and flexible data platform solutions
  • Designing and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams)
  • Providing active “hands-on” architectural guidance and leadership through the entire lifecycle of development projects
  • Translating business requirements into conceptual and detailed technology solutions
  • Collaborating closely with other architects and peers across the organization architecting and delivering solutions
  • Performing third-party vendor assessments
  • Developing and leading proof-of-concepts projects
  • Keeping fluent in industry and marketplace evolution; continously learning new data technologies and introducing these into the organization
  • Cross-training peers and mentoring junior teammates

Required Education :
  • Bachelor’s degree in Computer Science or related field

Preferred Education :
  • 10 years plus experience architecting enterprise data solutions
  • 10 years of hands-on data platform design and development in large-scale and complex environments
Technical Skills
  • Expertise architecting and delivering highly-scalable, distributed, cloud-based enterprise data solutions
  • In-depth experience with big data platforms, enterprise data warehouses, and reporting & analytics solutions
  • Experience with SAP HANA
  • Experience working with BI reporting and analytics tools
  • Experience with data modeling
  • Experience with semantic layer design
  • Fluent understanding of data security and compliance requirements and experience designing data solutions that are secure and compliant
  • Fluency architecting and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams)
  • Understanding and experience with Solutions Architecture methodology and practices
  • Ability to translate business requirements into conceptual and detailed technology solutions
  • Ability to perform third-party vendor assessments
  • Ability to develop and lead proof-of-concepts
  • Focused on delivering practical, working solutions (no ivory tower solutions)
  • Practical experience designing data solutions in multiple models and technologies: relational, no-SQL, big data, graph DB, unstructured and structured
  • Experience and expertise with data lifecycle management, data-tiering and data archiving
  • Functional understanding of cloud data storage and analytics offerings
  • Experience migrating legacy systems to modern solutions
  • Familiarity and working experience with common data integration patterns and processes including: ETL, APIs, Messaging Bus, Pub-Sub, flat files
  • Experience with Hadoop, MapReduce, Spark, R, Python, SQL
  • Experience and expertise with all aspects of data management: data governance, data mastering, meta-data management, data taxonomies and ontologies
Non-Technical Skills
  • Strong collaboration skills
  • Ability to “influence without authority”
  • Strong communication skills, both oral and written. Ability to communicate well to both technical and business audiences.
  • Thinks strategically
  • Innovative thinking and embraces innovation by constantly seeking new or contrary ideas and approaches to what has been done in the past
  • Results oriented, biased toward action
  • Keeps fluent in new technologies and successful sharing with peers and introducing new technologies into the organization
  • Good at managing relationships with colleagues and stakeholders outside the organization
  • Not afraid to take risks
  • Creates enduring excitement about what is possible, while setting direction and driving results
  • Thinks big and broad, without being constrained by existing norms or business models
  • Recognizes diverse backgrounds, points of view, and cultural histories that directly impact the organization’s ability to innovate
  • Challenges teams – and self, to deliver the very best in everything they doSeeks differing points of view

Company Overview :
Data

Job ID

562631BR