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Brasil
Remote only
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Data Engineer – Advertising based in Brazil.
We are looking for a senior, product-minded Data Engineer to architect and build scalable data infrastructure that powers real-time insights, predictive systems, and generative AI applications. In this leadership role, you will transform traditional data lakes and warehouses into active, low-latency data platforms supporting intelligent applications and autonomous AI agents. You will design event-driven pipelines, develop advanced retrieval systems, and establish robust engineering practices. Working closely with Machine Learning, Product, and Creative teams, you will translate complex business needs into production-ready technical solutions. You will also shape data strategy, mentor engineering talent, and help build a high-performing data organization within a collaborative, technology-driven environment.
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.
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.
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.
