Senior Data Architect

Company Overview:

Global Technology Services is a rapidly expanding organization situated in Medellín, Colombia. We pride ourselves on possessing one of the most influential networks within software development and IT services for the entertainment, financial, and logistics sectors. Our corporate projections offer a multitude of opportunities for professionals to elevate their careers and experience substantial growth. Joining our team means engaging with expansive engineering teams across Latin America, Philippines and the United States, contributing to cutting-edge developments in multiple industries.

Position Title: Data Architect

Category: Data Engineering & Analytics

Seniority: Architect

Location: LATAM

What you will be doing:

We are looking for a Data Engineering Architect to lead the design and evolution of scalable, high-performance data platforms and engineering solutions.

The ideal candidate combines strong architectural experience with strong hands-on experience in Databricks, Apache Spark, Python, and SQL. This role will be responsible for defining data architecture strategies, establishing engineering standards, making technology decisions, and guiding development teams in building reliable, scalable, and maintainable data solutions.

The successful candidate will have a strong understanding of modern lakehouse architectures, distributed data processing, ETL/ELT patterns, data modeling, performance optimization, and cloud-based data platforms.

Required Skills & Experience

• 7+ years of senior-level experience in Data Engineering with 2+ in Data Architecture. 

• Experience designing and leading the architecture of scalable, secure, and high-performance data platforms and data pipelines.

• Experience with architectural patterns for data ingestion, transformation, processing, storage, and consumption.

• Strong hands-on experience with Databricks.

• Advanced Python programming skills.

• Strong SQL development and optimization skills.

• Strong experience with Apache Spark / PySpark.

• Experience designing and implementing scalable ETL/ELT data pipelines.

• Experience working with large datasets and distributed data processing.

• Strong understanding of data engineering principles, data modeling, and data quality.

• Ability to troubleshoot and optimize data processing workloads.

Nice to have 

• Experience with Snowflake.

• Experience with AI Agents and Code AI tools like Claude. 

• Experience with AWS data services and cloud environments.

• Experience with Google Cloud Platform (GCP).

• Experience with dbt and modern ELT/data transformation practices.

• Familiarity with cloud-based data lakehouse architectures.

• Experience implementing CI/CD and automated testing for data pipelines.

Soft Skills

• Strong problem-solving and debugging skills

• Ability to work independently and take ownership of projects

• Strong communication skills with the ability to articulate, diagram and document complex engineering concepts.

Why you will love GTS:

• Join a powerful tech workforce and help us change the world through technology

• Professional development opportunities with international customers

• Collaborative work environment

• Career path and mentorship programs that will lead to new levels.

Join GTS and contribute to shaping the data landscape within a dynamic and growing organization. Your skills will be honed, and your contributions will play a vital role in our continued success. GTS is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.