Principal, System Architecture

Warner Bros. Discovery

Hyderabad, India
Enterprise-scale automation
Ai and agentic architectures
System architecture strategy
This role owns and drives the systems architecture of core AdTech platforms to improve scalability, reliability, performance, and cost efficiency across the ecosystem

Job Summary

  • This role owns and drives the systems architecture of core AdTech platforms to improve scalability, reliability, performance, and cost efficiency across the ecosystem.
  • By architecting the platform rationalization, cloud migration, and next-generation AI/ML-enabled capabilities, the Principal ensures WBD’s ad-tech stack is positioned to maximize monetization, enable automation, and deliver premium advertising experiences across all platforms.
  • Lead the design and implementation of enterprise‑scale automation leveraging AI and agentic architectures, including autonomous and human‑in‑the‑loop agents that orchestrate deployments, infrastructure lifecycle management, incident response, and operational workflows across large‑scale AdTech systems.

Matching Summary

This role owns and drives the systems architecture of core AdTech platforms to improve scalability, reliability, performance, and cost efficiency across the ecosystem.

Skills & Requirements

Must-have

  • enterprise-scale automation
  • AI and agentic architectures
  • system architecture strategy
  • cloud-native data design
  • streaming technologies
  • distributed compute frameworks
  • API-first architectures

Nice-to-have

  • storytellers bringing characters to life
  • career defining opportunities
  • thoughtfully curated benefits
  • supportive and celebratory environment
  • privacy-first architectures

Key Requirements

  • 15+ years of experience architecting and scaling enterprise-grade data platforms
  • Experience automating high-availability, high-throughput production environments
  • Advanced knowledge of open data Lakehouse formats
  • Hands-on expertise in cloud-native data design
  • Familiarity with identity resolution and audience graphs
  • Deep knowledge of data engineering best practices
  • Skilled in cost modeling and benchmarking
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline

Work Rights

Not specified

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