Senior Data Analytics Architect & ELT Lead

Stefanini Group; Argentina; Presencial; ARS 45.297.000 - 90.595.000; Jornada completa

Descripción de la vacante

Stefanini Group is seeking a Data Platform Engineer in Argentina to design and build scalable Snowflake data models and dbt pipelines. You will own the data warehouse layer powering analytics and reporting, while optimizing Snowflake costs and maintaining robust ELT/ETL pipelines from ERP, MES, IoT, and APIs.

The role emphasizes data quality, lineage, and governance, with exposure to orchestration tools like Airflow and a Git-based CI/CD workflow for analytics.

Formación

• Experience designing and building scalable data models in Snowflake using dimensional modeling and Data Vault patterns.
• Experience developing and maintaining dbt projects with testing, data contracts and documentation.
• Ability to optimize Snowflake costs and manage compute/storage, including clustering and resource monitors.
• Design and build robust ELT/ETL pipelines from diverse sources (ERP, MES, IoT, APIs, flat files) into Snowflake/AWS.
• Implement data quality checks, lineage tracking, and governance across analytics.
• Nice to have: Airflow, Snowflake Tasks, DevOps practices for analytics.

Responsabilidades

• Own the data warehouse layer powering analytics and reporting.
• Develop, test, and document dbt models end-to-end (staging, intermediate, mart).
• Design and maintain robust ELT/ETL pipelines from ERP/MES/IoT/APIs into Snowflake/Warehouse.
• Monitor Snowflake costs and optimize compute/storage configurations.
• Champion data governance, quality checks, and data lineage across the organization.

Conocimientos

Data modeling

ETL/ELT pipelines

SQL

Python scripting

Data governance

Testing & data quality

Herramientas

dbt

Snowflake

AWS Glue

AWS Lambda

Airflow

Git

CI/CD

Descripción del empleo

Stefanini Group is seeking a Data Platform Engineer in Argentina to design and build scalable Snowflake data models and dbt pipelines. You will own the data warehouse layer powering analytics and reporting, while optimizing Snowflake costs and maintaining robust ELT/ETL pipelines from ERP, MES, IoT, and APIs.

The role emphasizes data quality, lineage, and governance, with exposure to orchestration tools like Airflow and a Git-based CI/CD workflow for analytics.