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Tier-1 brand and metro Hyderabad increase competition, but senior specialized principal role reduces applicant density.
Strong ad-tech, identity, and privacy domain expertise required, limiting cross-industry transferability.
Explicit 15+ years and mandated cloud, lakehouse, streaming, and AI automation expertise make filters highly stringent.
Lead architecture and systems automation for critical adtech platforms to improve scalability, reliability, performance, and cost efficiency.
Own platform rationalization, cloud migration, and integration of AI/ML-enabled capabilities to maximize monetization and automation in advertising.
Collaborate across product, data science, infrastructure, and platform teams to ensure architectural alignment with business, regulatory, and performance requirements.
15+ years of experience architecting and scaling enterprise-grade data platforms with large-scale data ingestion and transformation pipelines.
Hands-on expertise with cloud-native data design (AWS, GCP, Azure), microservices, APIs, serverless architectures, and automation leveraging AI and agentic architectures.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline required.
Deep knowledge of distributed data technologies (Iceberg, Delta, Hudi, Spark, Flink, Kafka), data engineering best practices, and privacy regulations (GDPR, CCPA).
Experienced leader capable of influencing engineering execution and technical decisions without direct authority in a large, complex adtech environment.
Proven ability to design and implement scalable automation solutions incorporating AI-driven agentic systems for operational workflows and incident management.
Strong domain expertise in identity resolution, audience platforms, cross-platform measurement, and modernizing legacy adtech platforms in high-scale transactional settings.