Staff Data Engineer - Product Engagement(Data Platform Team) Hyderabad

About the role

We are seeking a Staff Data Engineer to serve as a top technical leader for the Product Engagement Data Engineering team. You will set the technical direction for data systems that process 30+ billion events per day across streaming and batch workloads, and own the architecture of the medallion (bronze, silver, gold) pipelines for sessionization, pathing, user-journey attribution, component performance, and search that produce our canonical engagement datasets. This is a hands-on technical leadership role. You will make the highest-leverage architectural decisions, raise the engineering bar through standards and mentorship, and drive cross-team initiatives that span our shared Scala and Spark code library and our tenant-specific workflows, configurations, and DDLs. You will partner closely with analytics, data science, and platform teams to ensure the engagement data layer is scalable, reliable, cost-efficient, and trustworthy at petabyte scale.

Responsibilities

• Own the architecture of the multi-tenant product engagement data platform end to end, from streaming event ingestion and normalization through silver sessionization and the gold attribution, journey, and component-performance layers that downstream analytics depend on.
• Set technical direction and standards for high-performance Spark applications, partitioning and data-modeling conventions, idempotent backfills, schema evolution, and release management across a shared library and multiple tenant pipelines.
• Lead the design and delivery of streaming and batch processing in Scala, Spark, and SQL on Databricks and AWS, optimizing for performance, cost, and reliability at scale.
• Drive engineering excellence in data quality and observability, including monitoring, alerting, validation, and lineage frameworks that protect the integrity of business-critical engagement metrics.
• Resolve the hardest technical problems, including distributed-systems failure modes, session split and late-arrival handling, skew and shuffle optimization, cross-catalog dependencies, and correctness of attribution logic.
• Align engineering, analytics, data science, and platform stakeholders on shared contracts such as event schemas, gold-table grains, and semantic-layer mappings, and shepherd new metrics from requirement to reporting surface.
• Mentor and grow senior and mid-level engineers through design reviews, code review, pairing, and documentation, and build a culture of rigor, ownership, and continuous improvement.
• Evaluate emerging tools and patterns, manage technical debt deliberately, and contribute to the multi-year roadmap for the engagement data platform.

Requirements

• Experience: 10+ years in data engineering or related software engineering, including a track record as a technical leader on large-scale data platforms.
• Programming: Expert-level proficiency in Scala (strongly preferred) and/or Python, with a strong software-engineering foundation including testing, modularity, versioned shared libraries, an

Benefits

Additional Information

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. Staff Data Engineer - Product Engagement(Data Platform Team) Hyderabad 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 & Audience organization builds and operates the frameworks, tools, and high-quality data products that power decision-making across WBD, including our flagship streaming product Max. The Product Engagement Data Engineering (PEDE) team owns the multi-tenant, end-to-end engagement data platform that turns tens of billions of daily client events into the trusted, governed datasets behind product analytics, experimentation, machine learning, and weekly business reviews. Our pipelines feed the semantic layer and reporting surfaces that leaders across product, analytics, and data science rely on to grow subscribers, deepen engagement, and make timely, informed decisions.

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