Data Engineer / Tech Lead (AWS Data Platform)

Bridgenext; Argentina; Remote; ARS 76,980,000 - 115,470,000; Full time

Job summary

Bridgenext is seeking a Data Engineer to support the development of a modern AWS-based data platform following Medallion Architecture principles. You will design and implement scalable data ingestion, transformation, and storage solutions, collaborating with analysts and stakeholders to meet reporting needs.

The role is remote in LATAM, preferably Argentina, with strong emphasis on AWS services, S3, Glue, IAM, and data governance.

Qualifications

• 5 years leading DE teams.
• Strong knowledge of Medallion Architecture and modern data lake practices.
• Hands-on experience with AWS services.
• Experience working with Amazon S3.
• Experience creating and managing AWS Glue Jobs.
• Understanding of IAM roles, security policies, and access management.
• Experience ingesting data from diverse structured and unstructured sources.
• Strong SQL and data modeling skills.
• Excellent Advanced English communication skills.

Responsibilities

• Design and implement data pipelines across Bronze, Silver, and Gold layers.
• Develop and maintain ingestion processes from multiple internal and external data sources.
• Create scalable ETL/ELT workflows using AWS-native technologies.
• Develop and manage AWS Glue Jobs and data transformation processes.
• Configure and maintain S3-based data lakes.
• Implement data quality, monitoring, and governance controls.
• Collaborate with Data Analysts and business stakeholders to meet reporting and analytics requirements.
• Optimize performance, reliability, and cost efficiency of data solutions.

Skills

SQL

Data modeling

Team leadership

English communication

Analytical thinking

Tools

AWS services

Amazon S3

AWS Glue

IAM policies

Data governance tools

Job description

Company Overview

At Bridgenext, we engineer Growth Operating Systems. Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.They have tools that function, but no system that wins. We help growth-hungry companies close that gap by turning fragmented platforms, siloed teams, and disconnected data into one integrated Growth OS. More than a technology company or marketing agency, we're a global digital consultancy with experts in engineering, data, AI, creative and more.

Our teams are made up of experts who believe in engineering impact, starting with putting people at the center of everything we do. Every team member directly shapes our work, culture, and values. Nothing matters more to us than a kind, respectful, fulfilling environment that supports everyone. Our flexible, inclusive culture gives you the autonomy, resources, and opportunities to thrive.

Position Description

We are seeking a Data Engineer to support the development of a modern AWS-based data platform following Medallion Architecture principles. The successful candidate will help design and implement scalable data ingestion, transformation, and storage solutions.

Responsibilities:

• Design and implement data pipelines across Bronze, Silver, and Gold layers
• Develop and maintain ingestion processes from multiple internal and external data sources
• Create scalable ETL/ELT workflows using AWS-native technologies
• Develop and manage AWS Glue Jobs and data transformation processes
• Configure and maintain S3-based data lakes
• Implement data quality, monitoring, and governance controls
• Collaborate with Data Analysts and business stakeholders to meet reporting and analytics requirements
• Optimize performance, reliability, and cost efficiency of data solutions

Workplace: Remote based role in LATAM, preferably in Argentina

Must Have Skills:

• 5 years of experience Leading DE teams
• Strong knowledge of Medallion Architecture and modern data lake practices
• Hands-on experience with AWS services
• Experience working with Amazon S3
• Experience creating and managing AWS Glue Jobs
• Understanding of IAM roles, security policies, and access management
• Experience ingesting data from diverse structured and unstructured sources
• Strong SQL and data modeling skills

Preferred Skills:

• Experience with Lake Formation, Athena, Redshift, or EMR
• Knowledge of data governance and metadata management
• Experience working in Agile delivery environments

Professional Skills:

• Excellent Acvanced English communication skills (written and oral)
• Strong team and individual player
• Maintains composure during all types of situations and is collaborative by nature
• High standards of professionalism, consistently producing high quality results
• Self-sufficient, independent requiring very little supervision or intervention
• Demonstrate flexibility and openness to bring creative solutions to address issues

Bridgenext is an Equal Opportunity Employer