Azure Data Platform Lead (Hybrid - Mexico)

Infosys; Región Centro; Hybrid; MXN 1,200,000 - 1,800,000; Full time

Job summary

Infosys, Mexico, is seeking a Lead Azure Data Engineer to steer architecture and delivery of scalable data platforms on Azure. You will mentor teams, drive data modeling, and ensure governance and security across pipelines.

You will work with SQL, Python, Spark, and Spark-based ETL/ELT processes, aligning with enterprise data strategy while collaborating with stakeholders to translate business needs into robust solutions.

Qualifications

• Bachelor's degree in CS or related field.
• 8+ years IT experience including pipeline design and development on Azure cloud services and Snowflake.
• Excellent assertive communication with users and stakeholders in English.
• Understanding of Agile methodologies.

Responsibilities

• Monitor and respond to alert emails regarding execution failures across tools like Databricks, Azure Data Factory, and data quality reports.
• Proactively respond to user questions on team Zoom channels and capture/process issues.
• Work with Azure Cloud Services, Databricks, Python, Spark, and Snowflake to investigate issues and remediate pipelines.

Skills

Python

Spark

ETL/ELT design

English communication

Agile methodologies

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Data Factory

Databricks

Snowflake

Azure Cloud Services

Job description

Infosys, Mexico, is seeking a Lead Azure Data Engineer to steer architecture and delivery of scalable data platforms on Azure. You will mentor teams, drive data modeling, and ensure governance and security across pipelines.

You will work with SQL, Python, Spark, and Spark-based ETL/ELT processes, aligning with enterprise data strategy while collaborating with stakeholders to translate business needs into robust solutions.