Senior Data Platform Architect for Enterprise AI

Levi Strauss & Co.; Ciudad de México; Presencial; MXN 900.000 - 1.500.000; Jornada completa

Descripción de la vacante

Levi Strauss & Co. is seeking a Staff Data Engineer to lead complex data initiatives in a cloud-native environment. You will design scalable data platforms, pipelines, and data products that empower analytics, AI, and business decisions.

Responsibilities include establishing data standards, governance, and reliability while partnering with product managers and engineers to translate business needs into robust technical solutions.

Formación

• 10+ years in Data Engineering or related fields with enterprise-scale data solutions.
• Strong leadership to drive data platform architecture and governance.
• Proven ability to deliver scalable, cloud-native data pipelines.

Responsabilidades

• Architect and deliver enterprise-scale data platforms and pipelines.
• Lead data product development from ingestion to consumption layer.
• Establish data quality, security, and governance practices.
• Collaborate with cross-functional teams to define technical roadmaps.

Conocimientos

Data Modeling

Data Architecture

Data Warehousing

ETL/ELT

SQL

Python

Java

Spark

Flink

Kafka

PubSub

Looker

BigQuery

Databricks

Redshift

DBT

Terraform

Educación

Bachelor’s degree in Computer Science or related field

Master’s degree in Computer Science/Data Engineering or related

Google Professional Data Engineer

Google Professional Cloud Architect

Herramientas

SQL

Python

Java

Spark

Flink

Hive

Kafka

PubSub

Looker

BigQuery

Databricks

Redshift

DBT

PySpark

Terraform

Descripción del empleo

Levi Strauss & Co. is seeking a Staff Data Engineer to lead complex data initiatives in a cloud-native environment. You will design scalable data platforms, pipelines, and data products that empower analytics, AI, and business decisions.

Responsibilities include establishing data standards, governance, and reliability while partnering with product managers and engineers to translate business needs into robust technical solutions.