Staff Software Engineer, Data Clean Rooms

Warner Bros. Discovery

Staff Software Engineer building scalable cloud-based data products for Data Clean Rooms at Warner Bros. Discovery.

Posted 6/13/2026full-timeHyderabad • 🇮🇳 IndiaLeadWebsite

Tech Stack

Tools & technologies

AirflowApacheAWSCloudDistributed SystemsJavaPythonSpark

About the role

Key responsibilities & impact

Provide technical leadership while actively contributing to the design and development of scalable cloud-based data products and services
Work closely with Architects, Data Scientists, ML Engineers, Product Managers, Software Engineers, and Senior Leadership to build data solutions using modern cloud technologies
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 maintainable 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
Engineer and own complex data transformation processes to ensure high-quality downstream analytics
Build privacy-safe collaboration capabilities 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
Drive continuous improvements in platform performance, reliability, scalability, and maintainability

Requirements

What you’ll need

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
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
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 configuring AWS Clean Rooms collaborations, configured tables, and analysis rules
Strong programming expertise in Python /Java
Good experience utilizing AI-powered software development tools
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

Benefits

Comp & perks

Equal opportunity employer
Fast track growth opportunities

ATS Keywords

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Hard Skills & Tools

data engineeringsoftware engineeringcloud-based data servicesdata transformation processesprogramming in Pythonprogramming in JavaApache SparkDatabricksApache Airflowbuilding scalable cloud-native data platforms

Soft Skills

technical leadershipmentoringcollaborationcommunicationproblem-solvingguidancefostering technical excellencepromoting engineering standardscontinuous improvementdesign thinking