Welcome to Warner Bros. Discovery… the stuff dreams are made of.
Who We Are…
When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
About Warner Bros. Discovery:
Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.
For more information, please visit www.wbd.com
Roles & Responsibilities:
MLG (Machine Learning & Growth) team is looking to hire a motivated Senior Staff Data Engineering who will be leading a team of highly motivated data engineers to build a state-of-the-art Marketing data platform to solve various data-driven use cases across the organization. This marketing data 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 a new core data platform in the cloud - handles both streaming and batch data
processing, capable of solving any big data initiatives in scope now or evolve in future as well.
You will be helping data engineers, analysts, and scientists perform their functions by building highly scalable capabilities across the platform. 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, API Development, Machine learning operationalization, and cloud automation to build and support all the data needs across Warner Brothers Discovery platform.The Daily
· 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.
· Conduct stakeholder interviews to build a functional platform in an agile fashion –
requirements may come from an internal data engineering team or external stakeholders.
· Work closely with higher management, various stakeholders to prioritize the
requirements.
· Work closely with your team to architect and implement various capabilities and data
products.
· Work closely with various other data engineering teams to perform code reviews and approvals that leads to rolling out new capabilities.
· Present platform architecture, roadmap, plans, status, and risk to various stakeholders
including higher management.
· Conduct evaluation of cutting-edge open source and proprietary distributed frameworks
and tools to bring data platform to the next level
· Build capabilities in the platform to make data engineering and science functions more
productive.
· Build and maintain foundational data products such as but not limited to Consumer 360.
· Build process and tools to maintain Machine Learning pipelines in production.
· Develop and enforce data engineering, security, data quality standards through
automation.
· 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.
What to Bring:
·Bachelor’s degree in computer science or Similar discipline.
·15+ years of experience in software engineering
·10+ years of experience in engineering management.
·8+ years of experience in data engineering.
·Go above and beyond attitude – ready to roll up sleeves in order to meet
business expectations.
·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 building and managing large volume data processing (both
streaming and batch) platform is a must.
·Expertise in stream processing systems such as Kafka, Kinesis, Pulsar or Similar
·Expertise in building micro services and managing containerized deployments,
preferably using Kubernetes
·Expertise in distributed data processing frameworks such as Apache Spark, Flink
or Similar.
·Expertise in SQL and No-SQL – Apache Cassandra, DynamoDB, MySQL
·Expertise in OLAP databases such as Snowflake or Redshift.
·Experience in operationalizing and scaling machine models is a huge plus.
·Experience with variety of data Tools & frameworks (example: Apache Airflow,
Druid) will be a huge plus.
·Experience with Analytics Tools such as Looker, Tableau is preferred.
·Cloud (AWS) experience preferred
·Ability to learn and teach new languages and frameworks.
·Direct to consumer digital business experience preferred
·Strong interpersonal, communication and presentation skills.
·Strong team focus with outstanding organizational and resource management
skills (edited)
How We Get Things Done…
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
Championing Inclusion at WBD
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.
If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.