Cloud Data Engineer - Governance & Architecture Lead

Accenture México; Monterrey; On-site; MXN 600,000 - 860,000; Full time

Benefits offered by this job

Career development

Direct contact with experts

Access to innovative tools

Training programs

International projects

Collaborative environment

Job summary

Accenture México is seeking a Cloud Data Engineer to design, develop, and maintain scalable data solutions using Snowflake, Google Cloud, and AWS. You will build reliable data pipelines, optimize cloud infrastructure, and enable data-driven decision-making across the organization.

The role focuses on data warehousing, ETL/ELT processes, and strong collaboration with analytics, BI, and engineering teams to deliver secure, high-availability data platforms.

Qualifications

• Experience designing cloud data architectures and pipelines.
• Experience with Snowflake data warehouses.
• Proficient in SQL and data modeling.
• Experience with GCP and AWS services.

Responsibilities

• Design, develop, and maintain cloud data architectures.
• Build and optimize data warehouses using Snowflake.
• Manage cloud services in GCP and AWS.
• Develop, automate, and monitor ETL/ELT pipelines.
• Ensure data quality, security, governance, and availability.
• Optimize performance and cloud costs.
• Collaborate with analytics, BI, engineering, and stakeholders.
• Create and maintain technical documentation and best practices.

Skills

Snowflake

Google Cloud

AWS

SQL

Data modeling

ETL/ELT pipelines

Python

Terraform

CI/CD

Infrastructure automation

Data warehousing

Communication

Problem solving

Tools

Terraform

CI/CD pipelines

Git

Apache Airflow

Job description

Accenture México is seeking a Cloud Data Engineer to design, develop, and maintain scalable data solutions using Snowflake, Google Cloud, and AWS. You will build reliable data pipelines, optimize cloud infrastructure, and enable data-driven decision-making across the organization.

The role focuses on data warehousing, ETL/ELT processes, and strong collaboration with analytics, BI, and engineering teams to deliver secure, high-availability data platforms.