Lead Data Engineer – Advertising

This is a fully remote position, open to applicants in Latin America.

📋 Description

• Create, develop, and enhance high-throughput, low-latency data infrastructure that links cloud data lakes and warehouses to dynamic AI backends and real-time responsive workflows.

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

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

• Define data architecture standards, CI/CD processes, documentation, and best practices for data quality.

• Provide mentorship to data engineers.

• Collaborate with Machine Learning Engineers, Product teams, Creative Directors, and agency stakeholders.

• Convert client and business needs into production-ready data APIs and schemas.

• Utilize AI-driven coding, agentic engineering, and contemporary automated workflows.

⛳️ Requirements

• Over 5 years of experience in Data Engineering.

• Proven expertise in designing, building, and scaling data pipelines and cloud infrastructure from the ground up.

• Background in activating data infrastructure for dynamic, real-time downstream applications.

• Experience in developing data layers for real-time, event-driven applications.

• Familiarity with vector databases such as Pinecone, Qdrant, Milvus, or pgvector.

• Experience with retrieval-augmented generation (RAG) at scale.

• Significant experience with AWS, GCP, or Azure.

• Proficiency with Snowflake, Databricks, or BigQuery.

• Advanced skills in Python and SQL.

• Experience using AI-assisted development tools, agentic coding, and automated engineering workflows.

• Proven track record of mentoring engineers and establishing engineering standards.

• Excellent communication skills.

• Must be located in Latin America.

• Fluent in English.

🏝️ Benefits

• 100% Remote Work.

• Highly Competitive USD Pay.

• Paid Time Off.

• Work with Autonomy.

• Collaborate with Top American Companies.

• Engage in various activities.

• Support for work-life balance.

• Access to a diverse, global professional network.

• Collaborate with multicultural teams.

• Work alongside experienced, seasoned professionals.