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 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.

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, Big Query, 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.