Lead Data Engineer - Advertising

📋 Description

• Architect, build, and scale high-throughput, low-latency data infrastructure connecting cloud data
• Transform static data repositories into active context layers, vector engines, and memory systems
• Develop real-time ingestion, event-driven streaming, and retrieval pipelines, including RAG
• Build and optimize data backends that support predictive systems, generative AI applications, and
• Establish data architecture standards, CI/CD practices, documentation, and data quality processes.
• Mentor data engineers and promote engineering excellence and knowledge sharing.

🎯 Requirements

• At least 5 years of experience in Data Engineering, with a proven track record of designing and
• Experience building and activating data infrastructure for dynamic, real-time applications, beyond
• Hands-on experience developing real-time, event-driven data layers for AI applications.
• Experience with vector databases such as Pinecone, Qdrant, Milvus, or pgvector, and large-scale
• Strong expertise in major cloud platforms, including AWS, GCP, or Azure.
• Experience with modern cloud data platforms such as Snowflake, Databricks, or BigQuery.

🎁 Benefits

• 100% remote work: Work from the location that best supports your productivity, with a reliable
• Competitive USD compensation: Access to market-leading compensation paid in USD.
• Paid time off: Time to rest, recharge, and maintain a healthy work-life balance.
• Flexible autonomy: Manage your schedule independently, with an emphasis on results rather than
• High-impact projects: Collaborate with leading U.S. companies on innovative technology initiatives.
• Professional growth: Work alongside experienced professionals and senior technical talent.