Senior Ad Ops Engineer

What you'll do

• Architect and optimize data pipelines for marketing and advertising datasets.
• Implement automated data quality frameworks using LLM-based and rule-based approaches.
• Integrate and normalize data from third-party platforms to ensure consistency.
• Develop ingestion frameworks for various marketing-specific data formats.
• Establish data governance practices including schema tracking and metadata standards.
• Build observability into pipelines with logging, monitoring, and anomaly detection.

What we're looking for

• 5+ years experience in data engineering, advertising technology, or marketing data engineering
• Hands-on expertise with digital advertising and non-standard marketing data formats
• Proficiency in Python, SQL, and distributed data frameworks like PySpark
• Experience working with modern data platforms such as Databricks, Snowflake, Kafka
• Strong understanding of data modeling, warehousing, governance, schema evolution
• Bachelor’s degree (Master's preferred) in Computer Science or related field
• Ability to build automated data quality validation systems using LLM-driven frameworks