Lead Data Engineer - Advertising.

Accountabilities

• Architect, build, and scale high-throughput, low-latency data infrastructure connecting cloud data lakes and warehouses to real-time AI applications.

• Transform static data repositories into active context layers, vector engines, and memory systems for autonomous AI agents.

• Develop real-time ingestion, event-driven streaming, and retrieval pipelines, including RAG architectures, vector stores, and operational databases.

• Build and optimize data backends that support predictive systems, generative AI applications, and agentic workflows.

• Establish data architecture standards, CI/CD practices, documentation, and data quality processes.

• Mentor data engineers and promote engineering excellence and knowledge sharing.

• Collaborate with Machine Learning Engineers, Product teams, Creative Directors, and other stakeholders to translate business requirements into production-grade data APIs and schemas.

• Leverage AI-assisted development tools, agentic coding, and automated engineering workflows to accelerate delivery.

• Contribute to technical strategy, architectural decisions, and the development of a world-class data engineering organization.

Requirements:

• At least 5 years of experience in Data Engineering, with a proven track record of designing and scaling data pipelines and cloud infrastructure from the ground up.

• Experience building and activating data infrastructure for dynamic, real-time applications, beyond traditional batch ETL/ELT processes and static data warehousing.

• 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 Retrieval-Augmented Generation (RAG) systems.

• Strong expertise in major cloud platforms, including AWS, GCP, or Azure.

• Experience with modern cloud data platforms such as Snowflake, Databricks, or BigQuery.

• Advanced proficiency in Python and SQL for data processing and real-time pipeline development.

• Familiarity with AI-assisted development tools, agentic coding, and automated engineering workflows.

• Demonstrated ability to mentor engineers, establish technical standards, and drive engineering best practices.

• Excellent communication and collaboration skills, particularly in cross-functional technology and creative environments.

• Based in Latin America.

• Fluent in English.

Benefits:

• 100% remote work: Work from the location that best supports your productivity, with a reliable internet connection.

• 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 hours worked.

• High-impact projects: Collaborate with leading U.S. companies on innovative technology initiatives.

• Professional growth: Work alongside experienced professionals and senior technical talent.

• International collaboration: Join a diverse network of more than 600 professionals across 25+ countries.

• Positive team culture: Benefit from engagement activities and a collaborative environment that values well-being and work-life balance.