Remote Data Architect — Medallion Architecture & Data Strategy

BairesDev; Montes de María; Remote; COP 388,387,000 - 517,850,000; Full time

Benefits offered by this job

Remote work

Competitive USD compensation

Home office setup

Flexible hours

Parental leave & vacations

Global mentorship & growth

Job summary

Data Architect at BairesDev, a 15+ year technology leader, works remotely on global roles. You will design and govern data strategy, turning unstructured data into a trusted, well-structured foundation for analytics across the organization.

Collaborate with stakeholders to define a canonical taxonomy and transformation logic for the data warehouse; strong SQL and English skills required.

Qualifications

• 5+ years of experience in data architecture.
• Strong expertise in Microsoft Azure Data Services.
• Proven experience with data modeling from unstructured data.
• Deep knowledge of Medallion Architecture.
• Advanced SQL skills.
• Experience with taxonomy creation.
• Strong stakeholder collaboration skills.
• Experience with schema architecture and relational/dimensional modeling.
• Advanced proficiency in English.

Responsibilities

• Design and define data strategy using Medallion Architecture in collaboration with business stakeholders.
• Model data from unstructured sources into clean, usable structures.
• Design the governed data architecture and canonical taxonomy for the data warehouse.
• Define transformation logic ensuring downstream consumers can rely on data assets.

Skills

5+ years data architecture

Azure Data Services

SQL

Medallion Architecture

Data modeling

Taxonomy creation

Stakeholder collaboration

Schema architecture

English proficiency

Tools

Microsoft Azure Data Services

Job description

Data Architect at BairesDev, a 15+ year technology leader, works remotely on global roles. You will design and govern data strategy, turning unstructured data into a trusted, well-structured foundation for analytics across the organization.

Collaborate with stakeholders to define a canonical taxonomy and transformation logic for the data warehouse; strong SQL and English skills required.