Data Engineering Architect - Colombia or Mexico
Required Skills & Experience
- 6+ years of experience in data engineering with 2+ recent years as an Architect
- Strong hands-on experience with Snowflake, DBT, Azure Data Factory/Synapse, ADLS, and Databricks. Proficiency in SQL and Python.
- Cloud experience (azure, AWS, GCP)
- Experience with CI/CD, Git, and DataOps practices.
- Strong data modeling and ability to communicate with both technical and non-technical stakeholders.

Job Description
As a Data Engineering Architect, you will participate in all aspects of the software development lifecycle which includes estimating, technical design, implementation, documentation, testing, deployment and support of application developed for clients.
- Design end-to-end healthcare data architectures using Snowflake, DBT, ADLS Gen2, and Azure pipelines.




- Model complex healthcare datasets (EHR/EMR, HL7, FHIR, claims, lab, pharmacy, and operational data).
- Lead delivery across full lifecycle: discovery, design, build, testing, go-live, and support.
- Facilitate workshops and align requirements across clinical, payer, research, and IT stakeholders.
- Build and optimize data pipelines using Snowflake, DBT, Python/SQL, and Azure tools.
- Ensure solutions meet regulatory, privacy, and security standards.
- Apply data quality frameworks to ensure accuracy in clinical and financial reporting.
- Leverage AI/Copilot tools to accelerate development, testing, documentation, and governance.

📌 Data Architect (Colombia)
🏢 Insight Global
📍 Colombia