Lead Data Engineer - Advertising

Truelogic Software

. Design, build, and scale high-throughput, low-latency data infrastructure .

Posted 10/31/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and scaling high-throughput data infrastructure, with a strong focus on real-time applications and cloud technologies. Proficient in mentoring teams and establishing data architecture standards while leveraging AI-driven development tools.

Highest-signal resume keywords

Data EngineeringData Pipeline DesignVector DatabasesAWS, GCP, or AzurePython and SQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Infrastructure DesignReal-Time Data ApplicationsEvent-Driven ApplicationsRetrieval-Augmented Generation (RAG)Data Layer DevelopmentCI/CD Best PracticesData Quality StandardsAI-Assisted Development ToolsAutomated Engineering WorkflowsData APIs and Schemas

Soft Skills

Exceptional Communication SkillsMentoring Engineers

Tools & Technologies

PineconeQdrantMilvusPgvectorSnowflakeDatabricksBigQuery

Industry Keywords

Cloud InfrastructureData LakesData WarehousesAI BackendsHybrid Tech/Creative Culture

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudGoogle Cloud PlatformPythonSnowflakeSQL

About the role

Key responsibilities & impact

Design, build, and scale high-throughput, low-latency data infrastructure
Connect cloud data lakes and warehouses to dynamic AI backends and real-time agentic workflows
Operationalize static data repositories into active context layers, vector engines, and memory systems
Build real-time ingestion, event-driven streaming, and retrieval pipelines
Feed live AI applications using RAG, vector stores, and operational databases
Establish data architecture standards, CI/CD, documentation, and data quality best practices
Mentor data engineers
Partner with Machine Learning Engineers, Product teams, Creative Directors, and agency stakeholders
Translate client and business requirements into production-grade data APIs and schemas
Leverage AI-powered coding, agentic engineering, and modern automated workflows

Requirements

What you’ll need

5+ years in Data Engineering
Experience designing, building, and scaling data pipelines and cloud infrastructure from the ground up
Experience activating data infrastructure for dynamic, real-time downstream applications
Experience building data layers for real-time, event-driven applications
Experience with vector databases such as Pinecone, Qdrant, Milvus, or pgvector
Experience with retrieval-augmented generation (RAG) at scale
Strong experience with AWS, GCP, or Azure
Experience with Snowflake, Databricks, or BigQuery
Advanced proficiency in Python and SQL
Experience utilizing AI-assisted development tools, agentic coding, and automated engineering workflows
Track record of mentoring engineers and setting engineering standards
Exceptional communication skills suited for a hybrid Tech/Creative culture
Located in Latin America
Fluent in English

Benefits

Comp & perks

100% Remote Work
Highly Competitive USD Pay
Paid Time Off
Work with Autonomy
Work with Top American Companies
Engagement activities
Work-life balance support
Collaboration with a diverse, multicultural global network
Access to seasoned senior professionals