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 learningpartnering 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.
• Integrate multiple data sources through APIs databases and external systems.
• Implement monitoring observability and automation for data processes.
• Support BI and analytics teams with reliable and scalable data solutions.
• Document architectures pipelines and technical processes.

Required Qualifications

• 8 years of experience as a Data Engineer.
• Strong hands-on and production-level experience with Databricks.
• Proven experience designing and implementing Data Lakes and modern data architectures.
• Strong expertise in SQL and Python for data engineering.
• Experience building scalable ETL/ELT pipelines.
• Solid knowledge of Apache Spark and distributed data processing.
• Experience handling large-scale datasets.
• Strong understanding of data modeling for analytics and BI.
• Experience working in cloud environments.
• Familiarity with Git CI/CD and modern development workflows.
• Ability to work independently in fast-paced startup
• Intermediate to Advanced English (B2 / C1)
• Only candidates from Latin America

Technology Stack

• Databricks
• Apache Spark
• Python
• SQL
• Delta Lake
• Data Lake / Lakehouse
• ETL / ELT Pipelines
• APIs & Integrations
• Cloud Platforms
• BI & Analytics
• Git & CI/CD

Compensation & Benefits

• Contractor Modality
• Compensation paid in US dollars
• Participation in innovative high-impact initiatives
• People-centric culture with autonomy and continuous learning
• 10 days PTO
• Observe all holidays in your country

Compensation & Benefits

• Contractor Modality
• Compensation paid in US dollars
• Participation in innovative high-impact initiatives
• People-centric culture with autonomy and continuous learning
• 10 days PTO
• Observe all holidays in your country