Senior Ad Ops Engineer

Job Description The Role As a Senior Ad Ops Engineer within the Marketing Applied Sciences organization, you will be responsible for architecting and developing advanced, well managed, and reusable data products that support marketing activation, analytics, and insights. You will work extensively with marketing platform data, partner data feeds, and non-standard data formats to build reliable, scalable data pipelines and storage solutions. This role requires deep hands-on experience with marketing ecosystems, digital advertising data structures, and agency or platform-side operations. You will also be responsible for implementing automated data quality and validation frameworks, including LLM

• powered agents focused solely on data consistency, anomaly detection, and schema integrity.

This includes integrating these validation systems directly into production pipelines to ensure accuracy, observability, and compliance across all marketing datasets. Additionally, the Senior Ad Ops Engineer will integrate with third-party marketing platforms and APIs, support data discovery across inconsistent partner datasets, and build solutions that provide clean, trustworthy data for activation, measurement, and optimization. What You'll Do

• Architect, build, and optimize data pipelines for marketing and advertising datasets, including nonstandard or semi-structured partner formats
• Implement data models, storage patterns, and orchestration workflows that support campaign activation, attribution, measurement, and analytics
• Build and maintain automated data quality and validation systems using LLM
• based and rule-based approaches
• Integrate and normalize data from marketing platforms, digital agencies, and third-party partners, ensuring performance, reliability, and consistency
• Develop ingestion frameworks for log-level data, event streams, pixel files, and other marketing specific formats
• Establish and maintain data governance practices including schema tracking, lineage awareness, metadata standards, and privacy compliance
• Build observability into pipelines with logging, monitoring, and anomaly detection for operational stability
• Collaborate with cross-functional teams to interpret marketing data requirements and translate them into scalable technical solutions Your Skills & Abilities (Required Qualifications)
• Bachelor's degree (Master's preferred) in Computer Science, Data Engineering, Information System To view full details and how to apply, please login or create a Job Seeker account