Data Engineer

• Build scalable ingestion pipelines for brand information and creative assets, ensuring freshness, reliability, and versioning.
• Integrate and leverage systems and models from our machine learning and data science partner teams.
• Design and maintain brand-aware data models, ontologies, and multi-modal graphs to support context linking and rich retrievals.
• Implement hybrid storage and retrieval strategies across vector databases, graph databases, and search engines, optimizing for precision and latency.
• Develop metadata enrichment pipelines to enhance semantic search, personalization, and optimization for RAG-based conversational systems.
• Ensure data quality and observability by monitoring metrics for accuracy, coverage, and timeliness; build monitoring systems to track ingestion and retrieval health.
• Collaborate with product, ML, and information retrieval teams to align data infrastructure with creative workflows.
• Optimize pipelines using distributed/streaming systems for scale and speed.