Data Engineer – Databricks, Data Lake & Modern Analytic

What were looking for Data Engineer – Databricks, Data Lake & Modern Analytic (Only candidates from Latin America) About us Archie Labs builds smarter software by combining AI and expert human teams.

We help companies move from concept to production-ready systems faster using agentic AI, AI-powered product discovery, and strong engineering execution.

At Archie Labs , youll work in a people-first environment built around autonomy, ownership, and continuous learning—partnering closely with clients and technical teams to deliver real solutions, not just plans.

About the Role We are looking for a highly skilled Data Engineer with strong hands-on experience in Databricks to help build a modern analytics architecture from scratch for a strategic client project.

This role will be responsible for designing, developing, and optimizing scalable data platforms that support Business Intelligence, advanced analytics, artificial intelligence initiatives, and AI agent-based systems.

The ideal candidate has deep expertise in Databricks and modern data architectures, along with experience building enterprise-grade data solutions in cloud environments.

Responsabilities Design and implement modern data architectures using Databricks as the core platform.

Build and manage scalable Data Lakes, ETL/ELT pipelines, and data integration processes.

Develop solutions for processing large volumes of structured and unstructured data.

Design data models optimized for analytics, BI, and AI-driven applications.

Implement data ingestion, transformation, and data quality processes.

Optimize performance, scalability, and cost efficiency of Databricks workloads and pipelines.

Collaborate with AI/ML teams to enable datasets and pipelines for intelligent agents and AI systems.

Define and implement data engineering standards, governance, and best practices.