Lead Data Engineer – Advertising

Truelogic Software

. Design, build, and scale high-throughput, low-latency data infrastructure connecting cloud data lakes and warehouses to dynamic AI backends and real-time agentic workflows .

Posted 10/31/2026full-timeRemote • Dominican RepublicSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and scaling data infrastructure for real-time applications, with advanced proficiency in Python and SQL. Proven ability to mentor engineers and establish data architecture standards while leveraging cloud technologies and AI-assisted development tools.

Highest-signal resume keywords

Data EngineeringData Pipeline DevelopmentCloud Infrastructure (AWS, GCP, Azure)Vector Databases (Pinecone, Qdrant, Milvus, pgvector)Retrieval-Augmented Generation (RAG)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLData Pipeline DevelopmentCloud InfrastructureEvent-Driven ApplicationsData Architecture StandardsData Quality Best PracticesAI-Assisted Development ToolsAutomated Engineering WorkflowsMentoring Engineers

Soft Skills

Exceptional Communication Skills

Tools & Technologies

AWSGCPAzureSnowflakeDatabricksBigQuery

Industry Keywords

Data InfrastructureReal-Time ApplicationsDynamic AI BackendsOperational DatabasesData Strategy

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudGoogle Cloud PlatformPythonSnowflakeSQL

About the role

Key responsibilities & impact

Design, build, and scale high-throughput, low-latency data infrastructure connecting 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 for autonomous AI agents and downstream applications
Build real-time ingestion, event-driven streaming, and retrieval pipelines including 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 to translate requirements into production-grade data APIs and schemas
Leverage AI-powered coding, agentic engineering, and modern automated workflows
Shape data strategy, engineering standards, and team culture with significant autonomy in technical decision-making

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 and a focus on well-being and work-life balance
Access to a diverse, global network of 600+ professionals in 25+ countries
Collaboration with seasoned senior talent