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.
Engineering Manager – Data Core Processing (DCP) – 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 company combines WarnerMedia’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.
Meet our Team:
The Data Core Processing (DCP) team owns and operates foundational components of the enterprise data platform that enable reliable data flow across the organization. Positioned at the critical ingestion and processing layer, the team ensures that raw client and server-side events are transformed into actionable insights. Sitting at the intersection of data and platform engineering, the team supports downstream consumers and drives both business decision-making and operational visibility.
Roles & Responsibilities:
We are seeking an experienced Engineering Manager to lead the Data Core Processing team. This role will focus on building and scaling enterprise-grade data platforms, driving technical strategy, and ensuring operational excellence across distributed data systems.
Lead, mentor, and grow a team of 6–10 software and data engineers, fostering a culture of collaboration and engineering excellence
Define and execute the technical roadmap for data processing infrastructure
Design and build scalable data pipelines for structured, semi-structured, and unstructured data
Develop systems supporting both real-time and batch data processing at scale
Ensure data quality, reliability, and consistency across pipelines
Optimize system performance and manage infrastructure costs effectively
Oversee development of orchestration frameworks and data processing workflows
Implement metadata management, data cataloging, and enrichment capabilities
Establish monitoring, alerting, and observability frameworks for data systems
Ensure compliance with data governance, privacy, and security standards
Collaborate with Data Science, Analytics, Product, and Infrastructure teams to deliver high-impact solutions
Define SLAs/SLOs and drive reliability and operational improvements
‘Lead incident management, root cause analysis, and post-mortem processes
Promote DevOps best practices, automation, and continuous improvement
Manage technical debt while balancing feature development and platform stability
What to Bring:
8+ years of experience in data engineering, distributed systems, or related domains
3+ years of experience in engineering management leading technical teams
Strong expertise in data processing frameworks such as Spark, Kafka, Flink, Airflow, Beam, or similar
Proficiency in programming languages like Python, SQL, Java/Scala, or Go
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and their data services (e.g., EMR, Glue, Lambda, S3, BigQuery, Dataflow)
Proven experience in building and scaling data infrastructure and platforms
Experience with both batch and streaming data architectures
Strong understanding of data modeling, schema design, and data warehousing concepts
Experience with modern data storage formats and frameworks such as Parquet, Avro, Delta Lake, Iceberg, or Hudi
Experience working with databases such as PostgreSQL, MongoDB, Elasticsearch, or Redis
Experience with orchestration tools like Airflow, Prefect, Temporal, or Argo
Familiarity with containerization and infrastructure tools such as Docker, Kubernetes, Terraform, and CI/CD pipelines
Experience working with unstructured data (documents, images, video, audio) is a plus
Knowledge of modern data stack, data lake architectures, and multi-tenant platforms
Familiarity with AI/ML data pipelines, feature engineering, and data-driven applications
Understanding of data quality frameworks, observability tools, and governance practices
Exposure to vector databases and semantic search technologies is a plus
Contributions to open-source data processing projects are a plus
Excellent problem-solving, communication, and leadership skills
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 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.