Data Architect

Insight Global; Colombia; Presencial; COP 283.921.000 - 410.108.000; Jornada completa

Descripción de la vacante

Insight Global is seeking a Data Engineering Architect to join our team in Colombia or Mexico. You will participate in all phases of the software development lifecycle for client projects, from estimation to deployment and support.

Design healthcare data architectures using Snowflake, DBT, ADLS Gen2 and Azure pipelines; model EHR/EMR, HL7, FHIR data; lead delivery across discovery to go-live; collaborate with clinical, payer, research and IT stakeholders; build data pipelines in Python/SQL with

Formación

• 6+ years in data engineering with 2+ years as Architect
• Strong hands-on with Snowflake, DBT, Azure Data Factory/Synapse, ADLS Gen2, 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 technical and non-technical stakeholders

Responsabilidades

• Estimate, design, implement, document, test, deploy and support client applications throughout the SDLC
• Design 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 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 reporting
• Leverage AI/Copilot tools to accelerate development and governance

Conocimientos

Snowflake

DBT

SQL

Python

Cloud platforms

CI/CD

Git

DataOps

Data modeling

Herramientas

Azure Data Factory

Azure Synapse

ADLS Gen2

Databricks

Git

Descripción del empleo

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.