Lead Data Engineer - Advertising

About the role

Truelogic, a nearshore staff augmentation provider with more than 600 tech professionals in Latin America, is recruiting a Lead Data Engineer for its advertising client. The client is a technology and creative network with a 50/50 split between creative and engineers, and partners with CMOs, CTOs and CIOs. The Lead Data Engineer will architect and build the scalable data infrastructure behind real-time insights, predictive systems and generative AI applications, turning static data lakes and warehouses into active, low-latency backends for real-time, agentic AI. The role is fully remote and open to candidates located in Latin America.

Key responsibilities

• Design, build and scale high-throughput, low-latency data infrastructure connecting cloud data lakes and warehouses to AI backends and real-time agentic workflows.
• Turn static data repositories into active context layers, vector engines and memory systems for autonomous AI agents.
• Build real-time ingestion, event-driven streaming and retrieval pipelines (RAG, vector stores, operational databases).
• Set data architecture standards, CI/CD, documentation and data quality best practices, and mentor data engineers.
• Work with Machine Learning Engineers, product teams, creative directors and agency stakeholders to deliver production-grade data APIs and schemas.
• Use AI-powered coding, agentic engineering and automated workflows to speed development.

Required profile

• 5+ years in data engineering, with experience designing and scaling data pipelines and cloud infrastructure from the ground up.
• Proven track record of activating data infrastructure for real-time downstream applications, beyond batch ETL/ELT and static warehousing.
• Experience building data layers for real-time, event-driven applications, vector databases or RAG at scale.
• Strong cloud expertise and leadership, including mentoring engineers and setting standards.
• Located in Latin America, fluent in English; hybrid tech/creative culture.

Required skills

• AWS, GCP or Azure, with Snowflake, Databricks or BigQuery.
• Advanced Python and SQL.
• Vector databases such as Pinecone, Qdrant, Milvus or pgvector.
• AI-assisted development tools and agentic workflows.

What we offer

• 100% remote work.
• Highly competitive pay in USD.
• Paid time off.
• Autonomy to manage your own time and focus on results.
• Projects with top American companies and a global network of 600+ professionals.