TL;DR

Lead Data Engineer (Data Analytics): Lead design and delivery of scalable data solutions integrating batch and streaming pipelines with an accent on architecture, data quality, and process excellence. Focus on building automated, scalable pipelines, optimizing workflows, and mentoring engineering teams to solve complex business challenges.

Location: Hybrid in Mexico City, Mexico

Company

%hirify_global% is a global leader in cloud-based software and SaaS solutions.

What you will do

Lead end-to-end design and architecture of data products integrating batch and real-time pipelines.
Enhance data quality and ensure accuracy through validation and governance.
Optimize workflows and resources for performance and efficiency.
Set engineering standards and advocate best practices, automation, and code quality.
Collaborate cross-functionally with data ingestion, platform, and product teams.
Mentor and guide engineers to foster technical excellence and growth.

Requirements

Location: Must be based in or near Mexico City, Mexico with hybrid work format.
8+ years of experience in large data environments using dbt, Snowflake, Informatica, and Airflow.
Strong skills in data modeling, ETL/ELT design, SQL, Python, and cloud-based data platforms.
Experience leading data engineering teams and setting technical direction.
Proven ability to integrate batch and real-time data processes and ensure data governance.
Strong collaboration and communication skills.