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Tier-1 brand and metro location increase competition, but seniority and niche ad‑tech/data skills limit applicant pool.
Highly domain-specific ad‑tech, identity, lakehouse and streaming expertise limits cross-industry transferability.
Explicit 15+ years, deep ad‑tech/data expertise, and mandated tech stack create highly strict shortlisting filters.
Lead architecture and system automation for Warner Bros. Discovery’s core AdTech platforms, enhancing scalability, reliability, performance, and cost efficiency.
Own platform rationalization, cloud migration, and integration of AI/ML capabilities to maximize monetization and automation across linear and digital advertising systems.
Drive simplification and convergence of fragmented AdTech systems into cohesive, high-availability platforms ensuring interoperability across legacy and next-gen systems.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline.
15+ years of experience in systems architecture and scaling enterprise-grade data platforms, especially in large-scale data ingestion, transformation, and activation.
Hands-on expertise in cloud-native design (AWS, GCP, Azure), microservices, APIs, serverless architectures, and automation of high-availability production environments using AI/agentic systems.
Strong knowledge of distributed data frameworks (Spark, Flink, Kafka), data lakehouse formats, identity resolution, and ad-tech ecosystem, including privacy regulations (GDPR, CCPA).
Experienced leader capable of defining and driving long-term architecture and technology strategy across converged advertising systems with complex scalability and operational challenges.
Demonstrated ability to integrate AI-powered automation and agentic systems into large-scale platforms, with expertise in reducing systemic complexity while enabling agility.
Strategic influencer skilled in architectural governance, mentoring senior engineers, and collaborating across engineering, product, and business functions to align on high-impact decisions.