Senior Principal, System Architecture – Digital AdTech

Jobtailor; Bengaluru; On-site; INR 6,000,000 - 9,000,000; Full time

Job summary

Warner Bros. Discovery seeks a senior Data Platform Architect to lead the architecture of its critical AdTech platforms in Bengaluru. You will own automation architecture, drive scalability, reliability, and cost optimization while designing AI-powered deployment orchestration and governance across multiple regions.

You will mentor senior engineers, define architectural guardrails, and align engineering with product and business goals, including privacy-first data practices.

Qualifications

• 15+ years of experience architecting and scaling enterprise-grade data platforms.
• Proven track record in large-scale ingestion, transformation, and activation pipelines.
• Experience automating high-availability, high-throughput production environments using AI and agentic architectures.
• Advanced knowledge of open data Lakehouse formats: Iceberg, Delta, Hudi.
• Knowledge of distributed compute frameworks: Spark, Flink, Presto.
• Knowledge of streaming technologies: Kafka, Kinesis, Pub/Sub.
• Hands-on expertise in cloud-native data design across AWS, GCP, and Azure.
• Experience with microservices, APIs, and serverless architectures.
• Demonstrated success modernizing legacy platforms into modular, cost-efficient systems.
• Familiarity with identity resolution, audience graphs, and cross-platform measurement in media/advertising.
• Deep knowledge of data engineering best practices, CI/CD automation, observability, data lineage, and governance.
• Skills in cost modeling, benchmarking, and optimizing large-scale distributed systems.
• Strong grasp of ad-tech, programmatic ecosystems, ML/AI-driven data products, and privacy-first architectures.
• Experience leading technical evaluations, vendor integrations, and collaborations with cloud platforms and open-source communities.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline required.

Responsibilities

• Lead architecture for Warner Bros. Discovery’s critical ad tech platforms and automation pipelines.
• Own and drive systems automation architecture for core AdTech platforms.
• Improve scalability, reliability, performance, and cost efficiency across the ecosystem.
• Architect AI-powered systems for deployment orchestration and incident response.
• Establish guardrails for safe, observable AI adoption and governance.
• Integrate AI capabilities into decisioning, optimization, experimentation, and operations layers.
• Define architecture for AdOps automation, optimization, identity, data, measurement, and activation platforms.
• Establish multi-region, high-availability, disaster-resilient patterns.
• Drive platform standardization, modernization, and convergence across systems.
• Identify bottlenecks in latency and data consistency; lead migration from monoliths to services.
• Evaluate emerging technologies including streaming, distributed systems, AI infrastructure, and privacy tech.
• Mentor principal engineers and architects on system design and trade-offs.
• Establish governance and decision frameworks; review architecture for high-impact systems.
• Influence execution across orgs and align stakeholders on critical trade-offs.

Skills

Data Platform Architecture

AI and Agentic Architectures

Open Data Lakehouse Formats

Cloud-Native Data Design

AdTech & Programmatic Ecosystems

Education

Bachelor’s or Master’s in CS/Engineering

Tools

AWS

GCP

Azure

Kafka

Flink

Spark

Delta

Iceberg

Hudi

Pub/Sub

Job description

• Lead architecture for Warner Bros. Discovery’s critical advertising technology platforms
• Own and drive systems automation architecture for core AdTech platforms
• Improve scalability, reliability, performance, and cost efficiency across the ecosystem
• Architect AI-powered and agentic systems for deployment orchestration, infrastructure lifecycle, and incident response
• Establish guardrails for safe, observable, and governed AI adoption
• Integrate AI capabilities into decisioning, optimization, experimentation, and operations platform layers
• Define architecture for AdOps automation, optimization, identity, data, measurement, and activation platforms
• Establish multi-region, high-availability, and disaster-resilient system patterns
• Drive platform standardization, modernization, and convergence across linear and digital advertising systems
• Identify systemic bottlenecks in latency, data consistency, and cross-platform dependencies
• Lead migration from monoliths to services and siloed systems to shared platforms
• Evaluate emerging technologies including streaming, distributed systems, AI infrastructure, Agentic AI, and privacy technology
• Mentor Principal engineers and architects on system design and trade-offs
• Establish architectural governance and decision frameworks
• Review and approve architecture for high-impact, high-risk systems
• Influence execution across organizations and de-risk complex programs
• Align engineering, product, and business stakeholders on critical trade-offs

Requirements

• 15+ years of experience architecting and scaling enterprise-grade data platforms
• Proven track record in large-scale ingestion, transformation, and activation pipelines
• Experience automating high-availability, high-throughput production environments using AI and agentic architectures
• Advanced knowledge of open data Lakehouse formats: Iceberg, Delta, Hudi
• Knowledge of distributed compute frameworks: Spark, Flink, Presto
• Knowledge of streaming technologies: Kafka, Kinesis, Pub/Sub
• Hands-on expertise in cloud-native data design across AWS, GCP, and Azure
• Experience with microservices, APIs, and serverless architectures
• Demonstrated success modernizing legacy platforms into modular, cost-efficient systems
• Familiarity with identity resolution, audience graphs, and cross-platform measurement systems in media, advertising, or adjacent high-scale transaction domains
• Deep knowledge of data engineering best practices, CI/CD automation, observability, data lineage, and governance frameworks
• Skill in cost modeling, benchmarking, and optimizing large-scale distributed systems for throughput, latency, and cost efficiency
• Strong grasp of ad-tech, programmatic ecosystems, ML/AI-driven data products, and privacy-first architectures including GDPR, CCPA, and VPPA
• Experience leading technical evaluations, vendor integrations, and collaborations with third-party data providers, cloud platforms, and open-source communities
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline required

Core Competencies

Expertise in architecting and scaling enterprise-grade data platforms, with a focus on AI-powered systems, automation, and high-availability environments. Proven ability to lead cross-functional teams and drive modernization of legacy systems while ensuring compliance with privacy regulations.

Highest-signal resume keywords

• 15+ Years Experience In Data Architecture
• Expertise In AI And Agentic Architectures
• Advanced Knowledge Of Open Data Lakehouse Formats
• Hands-On Expertise In Cloud-Native Data Design
• Strong Grasp Of Ad-Tech And Programmatic Ecosystems

Hard Skills

• Data Platform Architecture
• Systems Automation
• Data Ingestion And Transformation
• Microservices Architecture
• CI/CD Automation
• Data Engineering Best Practices
• Cost Modeling And Optimization
• High-Throughput Production Environments
• Incident Response Architecture
• Disaster Recovery Patterns

Soft Skills

• Mentoring
• Cross-Functional Collaboration
• Influencing Execution
• Architectural Governance
• Stakeholder Alignment

Industry Keywords

• AdTech
• Programmatic Ecosystems
• Privacy Regulations
• GDPR
• CCPA
• VPPA
• Data Lineage
• Observability
• Identity Resolution
• Audience Graphs

Tools & Technologies

• AWS
• GCP
• Azure
• Kafka
• Flink
• Spark
• Delta
• Iceberg
• Hudi
• Pub/Sub