Lead Azure Data Engineer

Infosys Limited; Región Centro, Monterrey, Santiago de Querétaro; Hybrid; MXN 1,200,000 - 2,000,000; Full time

Job summary

Infosys is seeking a Lead Azure Data Engineer to drive architecture and design of scalable Azure-based data platforms. You will mentor engineers, lead ETL/ELT pipelines with Python and Spark, and ensure governance and security across data sources and BI tools.

The role requires 8+ years of IT experience, a CS degree, strong English, and Agile experience. Hybrid work in Mexico with collaboration across teams in a global delivery model.

Qualifications

• Bachelor’s degree in Computer Science or related field.
• 8+ years IT experience designing and developing data pipelines (Batch and Streaming) using Azure and Snowflake.
• Excellent English communication with stakeholders and teams.
• Understanding of Agile methodologies.

Responsibilities

• Drive architecture, design, and optimization of scalable data platforms on Azure.
• Provide technical leadership and guidance to engineering teams.
• Lead data modeling, ETL/ELT, and performance tuning across Databricks, ADF, and Snowflake.

Skills

Python

Spark

ETL/ELT

Databricks

Azure Data Factory

Snowflake

Azure Cloud Services

GitHub/GitLab/Bitbucket

Agile methodologies

English communication

Education

Bachelor’s degree in Computer Science or related field

Tools

Databricks

Azure Data Factory

Snowflake

Python

Spark

Job description

State / Region / Province

Country

Mexico

Skills

Technology|Cloud Integration|Azure Data Factory (ADF), Technology|Cloud Platform|Azure Core services

Domain

Delivery

Interest Group

Infy Mexico

Company

Requisition ID

155683BR

Lead Azure Data Engineer (Ingeniero líder de Datos Azure)

Location: Mexico (Mexico City, Guadalajara, Monterrey, Queretaro) – Hybrid as per Infosys Mexico policy (CDT/EDT time)

Role Overview

As a Lead Azure Data Engineer, you will drive the architecture, design, and optimization of scalable data platforms and pipelines on Azure, while providing technical leadership and guidance to engineering teams. You will apply advanced expertise in SQL, Python, and Spark to build efficient ETL/ELT solutions, lead data modeling and performance tuning efforts, and ensure seamless integration with diverse data sources and BI tools. Additionally, you will establish and enforce data governance, security, and compliance standards, collaborate with stakeholders to translate business needs into robust solutions, and mentor team members to ensure high-quality delivery and alignment with enterprise data strategy.

Key Responsibilities

• Monitor and respond to alert emails regarding execution failures across all team tools—such as Databricks, Azure Data Factory, or data quality gap reports within our processes.
• Proactively respond to user questions on team Zoom channels, capture issues in our processes, and implement necessary fixes.
• Work extensively with Azure Cloud Services, Azure Data Factory, Databricks, Python, and Spark, snowflake including handling user requested break-ins such as issue investigation, missing data analysis and remediation of jobs or pipelines that did not run according to their pre-configured schedules.

Basic Qualifications

• Bachelor’s degree or foreign equivalent in Computer Science or related field.
• 8+ years of IT experience, including pipeline design, support and development (Batch and Streaming) using Azure cloud services and Snowflake.
• Excellent assertive communication with users and stakeholders in English.
• Understanding of Agile methodologies.

Mandatory Skills

• Proficiency in Python: Advanced/expert-level proven experience in Python and Spark.
• Strong understanding of ETL/ELT processes: Proven experience designing and maintaining ETL processes in Databricks and Azure Data Factory, including connectivity with third party systems/APIs, Event Hubs, Snowflake and other potential data sources.
• Experience with Azure Cloud Services: Demonstrated knowledge of cloud platforms—specifically Azure—including storage, security, and resource optimization.

Preferred Skills

• Experience working with Git-based version control (e.g., GitHub, GitLab, Bitbucket) and familiarity with branching strategies, pull requests, and code review workflows.
• Focus on system maintenance: Strong emphasis on proactive detection and fast reactive maintenance of running jobs and pipelines.

Other Requirements

• Ability to work under tight timelines and manage complex requirements.
• Flexible to work during CDT/EDT time zones and meet for hand-over activities to India team if needed.
• Self-motivated, proactive, and a strong team player.

About Us

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.