Senior Data Architect – AI-Driven Data Platform

Lean Tech; Norte; Presencial; COP 168.036.000 - 242.718.000; Jornada completa

Descripción de la vacante

Global Technology Services in Mexico is seeking a Data Architect with strong analytics to modernize enterprise data architecture, leveraging AI, LLMs, and agent-based approaches to accelerate data discovery, architecture analysis, data design, and governance decisions.

The ideal candidate combines solid data architecture fundamentals with analytical thinking and is comfortable using AI-assisted development and architecture workflows to investigate and improve data environments.

Formación

• Strong experience in Data Architecture with analytics knowledge.
• 3-5 years senior-level Data Engineering with 2+ years in Data Architecture.
• Experience with modern data platforms, data products, and governance architectures.
• Experience designing enterprise data models, data products, and analytical structures.
• Strong SQL and data analysis capabilities.
• Understanding of data governance, metadata, data quality, and data modeling.
• Hands-on experience with AI/LLMs to accelerate data/architecture work.
• Ability to work with AI coding/analysis assistants and agentic workflows.
• Strong communication skills to explain architecture decisions to technical and business stakeholders.
• Experience with Google Cloud Platform (GCP).
• Familiarity with BigQuery.
• Experience with Claude or similar AI-assisted environments.

Responsabilidades

• We are seeking to modernize enterprise data architecture.
• Assist in data discovery, architecture analysis, data design, and governance decisions.
• Leverage AI-assisted workflows to improve data environments and analytics.

Conocimientos

Data Architecture

Data Analytics

Data Engineering

Data Platforms

Data Models

SQL Analysis

Data Governance

AI/LLMs

AI Assistants

Communication

GCP

BigQuery

Claude

Descripción del empleo

Global Technology Services in Mexico is seeking a Data Architect with strong analytics to modernize enterprise data architecture, leveraging AI, LLMs, and agent-based approaches to accelerate data discovery, architecture analysis, data design, and governance decisions.

The ideal candidate combines solid data architecture fundamentals with analytical thinking and is comfortable using AI-assisted development and architecture workflows to investigate and improve data environments.