DEEP&T is looking to design and build the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come, by evolving streaming and digital products, transforming Disney's media business, and delivering unmatched entertainment and sports content.
Requirements
- Expertise in cloud-based data platforms (AWS, GCP, Azure) and big data technologies (Hadoop, Spark, Kafka)
- Expertise in MPP and SaaS Data Products like Snowflake, Redshift etc.
- Strong knowledge of database design, SQL, and data warehousing principles
- Knowledge of streaming data platforms and real-time analytics.
- Familiarity with GDPR, CCPA, and other data privacy regulations.
- Experience with data modeling, ETL processes, and data integration tools.
- Understanding different file format (parquet, ORC etc.) and table format (iceberg, delta etc.) and how to enable them if different data catalogs.
Responsibilities
- Design and develop scalable, high-performance data architecture that supports both operational and analytical use cases.
- Lead the integration of new data management technologies and software engineering tools into existing structures.
- Ensure data security, compliance, and privacy standards are met in accordance with company policies and regulations.
- Drive innovation in data processing and analytics, exploring emerging technologies and methodologies.
- Provide technical leadership and mentorship to the data architecture platform team.
- Oversee the documentation and communication of architectural designs and standards.
- Experience with building SDLC for developing and implementing cost-effective large-scale data platforms from real-time/batch ingestion to delivering analytics feedback and reporting to consumers.
Other
- At least 10+ years of experience in data architecture, engineering, or related field
- Proven ability to lead complex projects and cross-functional teams
- Excellent problem-solving, communication, and leadership skills
- Experience in the media/entertainment industry.
- Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
