Senior Data Architect & Engineer

Senior Data Architect & Engineer (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 Senior Data Architect with strong hands-on Data Engineering experience to lead the design and implementation of a modern data 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 including clinical and financial systems in the healthcare sector (EHR RCM billing).
• 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 with sufficient clarity for both technical and executive audiences.

Required Qualifications

• 8 years of experience in Data Architecture and Data Engineering roles with real and demonstrable hands-on practice in both disciplines.
• 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.
• The candidate must be equally comfortable leading an architecture design session and executing production data pipelines both activities are permanent and of equal value in this role.
• Intermediate to Advanced English (B2 / C1)
• Only candidates from Latin America

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