Lead Data Engineer - Advertising

Jobgether; Brasil; Remote; BRL 768,000 - 1,207,000; Full time

Benefits offered by this job

Remote work

USD salary

Paid time off

Flexible autonomy

High-impact projects

Professional growth

International collaboration

Team culture

Job summary

Jobgether is seeking a Lead Data Engineer - Advertising in a fully remote role based in Brazil. You will architect and scale high-throughput data infrastructure connecting cloud data lakes to real-time AI applications.

You will mentor engineers, collaborate with ML, product, and creative teams, and drive best practices across data APIs and schemas in a global context.

Qualifications

• 5+ years of experience in Data Engineering with scalable pipelines.
• Experience building real-time, event-driven data layers for AI applications.
• Experience with vector databases and Retrieval-Augmented Generation (RAG).

Responsibilities

• Architect and scale data infrastructure for real-time AI applications.
• Transform data into active context layers and memory systems for agents.
• Develop ingestion, streaming, and retrieval pipelines and CI/CD standards.
• Mentor engineers and promote engineering excellence.
• Collaborate with ML engineers and product teams to production-grade data APIs.

Skills

Data engineering

Real-time pipelines

Python

SQL

Cloud platforms

Vector databases

Mentoring

Cross-functional

English

Tools

Snowflake

Databricks

BigQuery

Pinecone

Qdrant

Milvus

pgvector

Job description

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.

Accountabilities

• 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.

Requirements

• 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.

Benefits

• 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.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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