Senior Data Platform Architect
Description
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: Senior Data Platform Architect
Category: Software Engineering & Architecture
Seniority: Senior
Location: LATAM
What you will be doing:
We are seeking a Senior Data Platform Architect to own Odyssey’s enterprise analytics ecosystem. You will manage everything from terraform deployments to our emerging GenAI infrastructure. Beyond technical execution, you will serve as a strategic guardian against engineering inertia, enforcing a discipline of rational adaptability to ensure investments are driven by objective future value rather than past expenditures.
Required Skills & Experience
8+ years in Data Engineering/Architecture, with 3+ years of daily production mastery in Databricks on AWS or Databricks Azure (DMS).
Deep familiarity with global data compliance standards (GDPR, CCPA, HIPAA) and experience implementing
Technical controls for PII protection (e.g., dynamic views, column-level encryption) in a distributed data environment.
Expert-level proficiency with modern ELT and BI tools, specifically Fivetran (connector configuration, transformation), AWS DMS, and Sigma Computing (administration, version control, security), or similar.
Understanding of Role-Based Access Control (RBAC) models within distributed data systems, specifically regarding Unity Catalog grants and AWS IAM Identity Center.
Proven production experience deploying CI/CD pipelines via GitHub Actions and Databricks Asset Bundles (DAB).
Familiarity with Generative AI concepts and modern ML techniques (LLMs, transformers, ensemble methods, deep learning frameworks) and how they integrate into data engineering workflows.
Nice to Have Skills
Databricks Certified Data Engineer Professional (strongly preferred) or AWS Solutions Architect Professional.
Working knowledge of agile/scrum methodologies and use of agile lifecycle management tools (e.g., Jira, Confluence).
Deep expertise in AWS networking (Transit Gateway, VPC Endpoints, Private Subnets) and security (SCPs, Encryption, IAM identity center).
Soft Skills
Strong analytical problem-solving mindset, capable of identifying patterns, optimizing processes, and unlocking new business value through scalable solutions.
Demonstrated ability to navigate ambiguity—driving clarity, alignment, and momentum in evolving requirements and complex stakeholder landscapes.
Exceptional communication and leadership skills to mentor engineers, influence stakeholders, and drive adoption of data products and practices.
Demonstrated experience managing enterprise software vendors, including contract utilization, technical escalation, and roadmap alignment.
A track record of making high-stakes technical decisions, including examples of when you recommended stopping a project to save resources (managing Sunk Cost bias).