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Full Time Job

Director, Data Engineering

HBO

Culver City, CA 08-22-2021
 
  • Paid
  • Full Time
  • Executive (10+ years) Experience
Job Description
Director, Data Engineering (Content)- HBO Max

HBO Max is where storytelling takes center stage and where creatives find a home with the support and resources to do their best work, no matter the genre or format. Whatever the viewer wants to watch is front and center and more of what they crave is easily discovered. It is where our exclusive HBO Max Originals and iconic entertainment brands thrive, with HBO, Warner Bros., DC, Turner Classic Movies, Cartoon Network and more delivering the greatest array of series, movies and specials for audiences of all ages. The platform launched in the United States in May 2020 and introduced a lower priced, advertising-supported tier in June 2021. HBO Max began its global rollout launching in markets across Latin America and the Caribbean last summer, followed by its first European launches in the Nordics and Spain in the fall. Currently available in 46 countries, there are plans for continued expansion of HBO Max in 2022.

The Job

We have created a new Data Insights and Operations (DIO) group within HBOMAX Direct-To-Consumer Organization to make the streaming products more data-driven. This team is looking to hire a motivated Director of Data Engineering who will be leading multiple data teams consists of highly motivated data engineers and analysts to build a state-of-the-art data products to solve various data-driven use cases across the organization. This platform will host various data products such as but not limited to, Subscription, Content, and Product Analytics, Personalization and Recommendation, Marketing & Ad-Sales enablement. You will be charged with building data engineering team to building one or more data products, work closely with stakeholders to understand the requirement, build a roadmap and execute on that roadmap.

This individual primarily be responsible for to build and own Content (Content Meta Data and Engagement) data product portfolio to help support Subscription Reporting, Analytics, and other data science use cases. This individual will bring in his/her expertise in a wide variety of big data processing frameworks (both open source and proprietary), large scale database systems (OLAP and OLTP), stream data processing data mart development, BI/Analytics, ML Engineering to improve ad experience and revenue on HBOMax platform.

The Daily
• Hire Data Engineers, Data Architects, and Data Analysts to build and maintain the various data products
• Lead and mentor one or more data engineering team(s), make them productive, keep them stay focused and motivated in an intense and demanding environment.
• Act as a product owner - conduct stakeholder interviews and build a roadmap.
• Work closely with higher management, various stakeholders to prioritize the requirements.
• Work closely with your team to architect and implement various data products which include Foundational datasets, data marts, data integration with internal or external platform to measure subscription business or improve customer acquisition.
• Present platform architecture, roadmap, plans, status, and risk to various stakeholders including higher management.
• Champion security and governance and make sure data engineering team following all the company guidelines while delivering data products.
• Take ownership of the platform by enabling 24X7 support.
• Assist in the preparation of presentations and formal analysis in support of executive decision making and strategy development.
• Secure funding to operationalize the tools/frameworks, build a roll-out strategy for any changes in the platform.
• Help with resource planning and budget to maintain the platform.
• Be responsible for cloud cost and improving efficiency.

The Essentials
• Bachelor's degree in computer science or Similar discipline.
• 12+ years of experience in software engineering
• 7+ years of experience in engineering management.
• 4+ years of experience in data engineering.
• Prior experience and deep domain knowledge in Content Meta Data and Content Engagement Analytics is highly preferred.
• Ability to work in fast paced, high pressure, agile environment.
• Ability to lead one or more teams to deliver high quality data products.
• Expertise in at least few programming languages - Java, Scala, Python or similar.
• Expertise in distributed data processing frameworks such as Apache Spark, Flink or Similar.
• Expertise analytics databases such as Snowflake or Apache Druid or similar.
• Prior experience in managing petabytes of data and building insightful products on top of it.
• Cloud (AWS) experience preferred.
• Ability to learn and teach new languages and frameworks.
• Strong interpersonal, communication and presentation skills.
• Strong team focus with outstanding organizational and resource management skills

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Jobcode: Reference SBJ-r1119e-18-224-0-25-42 in your application.