Job Summary:
The Data Architecture team partners with the Product Management and Data Tech Engineering, Data Science, Data Quality, and Reliability Engineering functions of the Disney Streaming D.A.T.A organization as well as with legal, privacy, information security, and industry groups to ensure consistent, trustworthy data across all of Disney Streaming. The group works with other groups within the Disney Streaming Data technology organization to implement the data engineering and infrastructure strategy within platform components, reporting and analytics, tools, and compliance standards.
Data Architect will be responsible for strategizing data architecture principles, cloud migration, and improvement of data lifecycle effectiveness and efficiency. Enforce industry best practices and discipline to turn data into a strategic asset and build advanced data solutions and capabilities to foster data-driven decision-making.Build a high-impact data architecture function.Identify potential for cost savings through ETL, storage optimization, budget allocation. Contribute towards the Architecture Book of Knowledge with whitepapers, guidance documents, system designs, and RFE/RFP for POCs.Develop and sponsor proof-of-concept and idea blueprints to demonstrate recommended approaches. Sell ideas and strategies to key technical and product stakeholders when appropriate using state-of-the-art diagramming and modeling tools.
Basic Qualifications
Basic QualificationsBachelor’s degree in Computer Science, Engineering, Mathematics or a related field or equivalent professional or military experience
12+ years of experience in IT platform implementation in a technical role
8+ years of development and/or DBA experience in Relational Database Management Systems (RDBMS)
5+ years of Data engineering experience in cloud computing manner preferably in AWS cloud technologies.
5+ years of hands-on experience in implementation and performance tuning MPP databases (Snowflake, Redshift, EMR, Databricks)
Experience in analyzing Data Warehouses such as Redshift, Snowflake, etc.
Experience designing database environments, analyzing production deployments, and making recommendations to optimize performance
Define, design, and implement data governance platform strategies for operational, privacy, security, and other related control areas
Assist in the definition, documentation, and development of mapping rules for the movement of data from disparate data sources and into the various components and subject areas of the data governance environment
Build data models including robust data definitions, entity-relationship-attribute models, as well as relational and/or dimensional models
Work closely with data engineers to derive logical models from the physical implementation of data structures
Experience in the multifaceted landscape of data domains and systems such as Spark, Snowflake, Hadoop, Kafka, and other distributed data lake systems
Ability to quickly learn new and existing technologies with strong attention to detail and excellent analytical capabilities
Basic Qualifications :
Preferred Qualifications :
Masters or Ph.D. in Computer Science, Physics, Engineering or Math or equivalent experience
Ability to evaluate and plan migrations to Databricks, Snowflake, etc.
One of the AWS Associate level certifications or AWS Certified Cloud Practitioner
Extensive hands-on experience in leading large-scale full-cycle MPP enterprise data warehousing (EDW) projects
Extensive hands-on experience in data warehousing design, tuning and ETL/ELT process development
Excellent SQL and strong hands-on scripting (bash and python) ability
Experience implementing AWS services in a variety of distributed computing, enterprise environments
Understanding of database and analytical technologies in the industry including MPP databases, Data Warehouse design, BI reporting, Dashboard development, and NoSQL storage