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 learning—partnering 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