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.
- 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 environments.Upper
- 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
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