Creative & Media Jobs in Hyderabad, India (Now Hiring) — 10 open

Staff Software Engineer – Data Clean Rooms, (C360 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 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. 

Meet Our Team 

The Consumer 360 (C360) team consists of Data Engineers, Software Engineers, Data Scientists, and Machine Learning Engineers. We ingest, analyze, and structure large-scale customer and prospect data—including lifestyle attributes, preferences, content consumption behavior, and demographics—to power targeted advertising, increase engagement, drive subscriptions, and reduce churn. 

Our team builds data-rich products and platforms that enable privacy-safe collaboration, advanced analytics, and revenue-generating insights across Warner Bros. Discovery's advertising ecosystem. 

Role Overview 

We are seeking a highly motivated and hands-on Staff Software Engineer to provide technical leadership while actively contributing to the design and development of scalable cloud-based data products and services. 

In this role, you will work closely with Architects, Data Scientists, ML Engineers, Product Managers, Software Engineers, and Senior Leadership to build mission-critical data solutions using modern cloud technologies, Agile methodologies, and engineering best practices. 

A primary focus of this position is building and scaling Data Clean Room integrations and privacy-preserving collaboration capabilities that support Advertising Sales and other high-visibility revenue stakeholders. 

Roles & Responsibilities 

• Lead the technical design and implementation of major platform enhancements and new product capabilities. 

• Produce clear, scalable, and actionable technical designs while guiding execution across multiple teams. 

• Design complex architectures and system components that solve business problems using pragmatic, maintainable, and scalable engineering solutions. 

• Establish and promote engineering standards, best practices, and architectural principles across teams. 

• Serve as a technical mentor and multiplier by elevating engineering quality and fostering technical excellence. 

• Design, develop, and maintain cloud-based data services that power Data Clean Room workflows, including onboarding, policy enforcement, audience overlap analysis, measurement, and activation. 

• Engineer and own complex data transformation, cleansing, imputation, and preparation processes to ensure high-quality downstream analytics, machine learning, and reporting. 

• Build privacy-safe collaboration capabilities such as audience overlap analysis, attribution modeling, conversion measurement, and lookalike audience modeling through scalable APIs and reusable platform services. 

• Partner closely with business stakeholders to understand challenges and translate requirements into scalable technical solutions. 

• Collaborate with Data Science, Analytics, and Engineering teams to deliver data-driven and ML-powered products. 

• Provide guidance on data architecture, governance, and platform design decisions. 

• Build highly reliable, secure, observable, and scalable production systems. 

• Contribute to operational readiness, monitoring, incident management, and support processes. 

• Participate in on-call rotations and incident response activities where applicable. 

• Drive continuous improvements in platform performance, reliability, scalability, and maintainability. 

What to Bring 

Clean Rooms, Privacy & Identity 

• 9-13 Years of Experience in Data Engineering/Software Engineering or related field. 

• 2+ years of experience building and operating Data Clean Rooms in production environments. 

• Deep understanding of Privacy Enhancing Technologies (PETs), including Differential Privacy, K-Anonymity, L-Diversity, and Secure Multi-Party Computation (MPC). 

• Expertise in identity resolution and matching across hashed and encrypted identifiers such as SHA-256, RampID, UID2.0, ID5, and LiveRamp. 

• Strong knowledge of cross-party data collaboration use cases, including audience overlap analysis, audience activation, attribution, lookalike modeling, and conversion measurement. 

• Strong understanding of privacy and compliance regulations including GDPR, CCPA/CPRA, HIPAA, COPPA, and data residency requirements. 

Snowflake & AWS Clean Rooms 

• Hands-on experience with Snowflake Secure Data Sharing, including Provider/Consumer models and Reader Accounts. 

• Experience with Snowflake Native Apps Framework, Secure Views, Secure UDFs, and Row Access Policies. 

• Expertise implementing aggregation policies, projection policies, data masking, and differential privacy controls. 

• Experience with SQL templating frameworks such as Jinja. 

• Exposure to Snowflake Marketplace, Listings, Snowflake Clean Rooms, multiparty clean room environments, developer APIs, and metrics/reporting frameworks. 

• Experience configuring AWS Clean Rooms collaborations, configured tables, and analysis rules. 

Data Engineering & Platform Development 

• Strong programming expertise in Python/Java. 

• Good experience utilizing AI-powered software development tools such as Claude, Cursor, GitHub Copilot, OpenAI (ChatGPT), Gemini, and similar platforms for code generation, debugging, testing, documentation, and accelerating engineering productivity. 

• Hands-on experience with Apache Spark, Databricks, and Apache Airflow. 

• Experience designing and building scalable cloud-native data platforms and data pipelines. 

• Strong understanding of distributed systems and large-scale data processing architectures. 

Nice to Have 

• Experience designing and operating solutions across multiple cloud platforms beyond a single provider. 

• Strong understanding of cloud architecture and distributed systems design. 

• Experience building APIs and deploying Machine Learning models into production environments. 

• Hands-on experience with Infrastructure as Code (Terraform and/or AWS CloudFormation). 

• Experience with Kubernetes, Amazon EKS, and container orchestration technologies. 

• Experience implementing CI/CD automation and DevOps best practices. 

• Strong operational engineering experience in monitoring, observability, reliability engineering, and incident management. 

• Excellent communication, collaboration, and stakeholder management skills. 

• Proven ability to lead technical initiatives, mentor engineers, and influence architectural decisions across teams. 

What We Offer: 

• A Great Place to work 

• Equal opportunity employer 

• Fast track growth opportunities