Senior Azure Data Platform Lead & BI Architect

Lean Tech, a Lean Solutions Group Division; Guavio; Presencial; COP 216.497.000 - 340.210.000; Jornada completa

Descripción de la vacante

Global Technology Services in Medellín, Colombia, seeks an experienced data platform owner to design, build, and support Azure SQL databases, data integrations, and Power BI solutions. You will partner with business leaders to deliver trusted information and drive enterprise reporting across LATAM operations.

The role combines database development, data engineering, data modeling, and BI leadership, including prioritizing requests and governing enterprise datasets.

Formación

• Bachelor's degree in IT or related field, or equivalent experience.
• 3+ years of Azure SQL and Azure Data Factory.
• 3+ years with Power BI.
• Strong T-SQL, DAX, Power Query (M), and dimensional modeling.
• Experience with Azure Functions and REST/SOAP APIs.
• Hands-on experience of Python programming.
• Excellent communication and stakeholder management skills.

Responsabilidades

• Design, build, and support Azure SQL databases, data integrations, ETL/ELT pipelines, and enterprise Power BI solutions.
• Partner with business leaders to deliver trusted, actionable information.
• Own the enterprise data platform and BI environment, governing datasets and reporting requests.
• Lead data modeling, data quality, and day-to-day reporting support.

Conocimientos

Communication

Stakeholder management

Problem solving

Ownership

Educación

Bachelor's degree in IT or related field

Herramientas

Azure SQL

Azure Data Factory

Power BI

T-SQL

DAX

Power Query

Azure Functions

REST APIs

SOAP APIs

Python

Descripción del empleo

Global Technology Services in Medellín, Colombia, seeks an experienced data platform owner to design, build, and support Azure SQL databases, data integrations, and Power BI solutions. You will partner with business leaders to deliver trusted information and drive enterprise reporting across LATAM operations.

The role combines database development, data engineering, data modeling, and BI leadership, including prioritizing requests and governing enterprise datasets.