Senior Manager - Data Platform Team, Hyderabad
Hyderabad, Office Level 3 & 4, Block A - East Wing, India
Warner Bros. Discovery
Warner Bros. Discovery offers exciting and rewarding career opportunities across a multitude of disciplines. Join us as we step into the next chapter.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.
Sr. Manager - Data Platform, Engineering- Hyderabad, India.
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:
As an Engineering Manager here you are passionate about using software-based approaches to solve complex data-driven challenges and automate those solutions. Within our organization, you’ll lead efforts aimed at scaling our existing data offerings and establish the technical strategy for how we can better equip engineers and leaders with Data Platform. You’ll build a deep understanding of our digital streaming service and use that knowledge, coupled with your engineering, infrastructure, data, and cloud knowledge, to optimize and evolve how we understand our technical ecosystem.
To be successful, you’ll need to be deeply technical and capable of holding your own with other strong peers. You possess excellent collaboration and diplomacy skills. You have experience practicing infrastructure-as-code, data lake management, AI/ML Knowledge, and Analytics. In addition, you’ll have strong systems knowledge and troubleshooting abilities.
Develop streaming and batch analytics & pipelines to build data impactful data products around a semantic layer
Create tools and frameworks that enhance data processing, information retrieval, governance, and data quality in a cost-effective and user-friendly manner.
Promote a culture of experimentation and data-driven innovation. Inspire and motivate through internal and external presentations and other speaking opportunities.
Own the end-to-end architecture of the data platform, ensuring its efficiency, cost-effectiveness, security, and governance.
Collaborate closely with other engineers to design and build an optimal and cost-efficient platform solution.
Work in partnership with other engineers and managers to design and develop foundational elements of the platform.
Assist in hiring, mentoring, and coaching engineers. Help build an engineering team that prioritizes empathy, diversity and inclusion.
What to Bring:
Bachelor’s degree in computer science or similar discipline
12+ years of commendable track record of delivering complex software engineering systems and distributed platforms using open source technologies
12+ years of experience and proficiency in building and managing real-time data processing pipelines with streaming platforms like Apache Kafka, AWS Kinesis, or Google Pub/Sub.
10+ years of strong foundation in distributed data processing concepts, event-driven architectures, understanding of batch and stream processing technologies and building streaming and batch pipelines
12+ years of programming experience with proficiency in Java, C, C++ or similar languages.
8+ years of experience in wide variety of distributed systems and technologies – such as Apache Flink, Apache Spark, Kafka, Airflow, Kubernetes, Databricks, Snowflake
10+ years of Cloud (AWS preferred) experience
10+ years of experience with containerization (Docker) and orchestration tools (Kubernetes), Prometheus, Grafana, Kibana, Elasticsearch, Cassandra, DynamoDB
10+ years of experience to design scalable and resilient streaming applications with microservices architecture
Experience leading in a highly cross-functional environment, likely collaborating closely with
Engineering, Product Management, and/or Data Science
Strong interpersonal, communication and presentation skills.
Nice to Have
Exposure to tools like Apache Beam or Spark Streaming.
Familiarity with integrating ML models into Flink pipelines is a plus.
What We Offer:
A Great Place to work.
Equal opportunity employer
Fast track growth opportunities
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 the diversity of our society and the world around us. 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Cassandra Computer Science Databricks Data quality Distributed Systems Docker DynamoDB Elasticsearch Engineering Flink Grafana Java Kafka Kibana Kinesis Kubernetes Machine Learning Microservices ML models Open Source Pipelines Security Snowflake Spark Streaming
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