About the role

The Manager of Data Engineering will lead the design and delivery of scalable data pipelines and platforms to support analytics, reporting, and AI initiatives. They are responsible for managing a team of engineers, ensuring data quality and security, and collaborating with cross-functional teams to translate business requirements into technical solutions.

What they look for

Data Engineering SQL Python Databricks Data Architecture ETL/ELT Pipelines Data Quality Data Governance Data Security Team Management Stakeholder Management Data Platforms Analytics Automation AI/ML

Requirements

Candidates must have significant experience in data engineering, ETL/ELT pipelines, and enterprise data systems. Proficiency in SQL, Python, and data architecture concepts like Lakehouse or Warehousing is required, along with strong leadership and stakeholder management skills.

Full description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Manager, Data Engineering

Overview The GBSC Analytics & Automation team enables data-driven decision-making through scalable data platforms, automation, and analytics capabilities. We are seeking a Manager – Data Engineering to lead the design and delivery of robust data pipelines and data platforms that support analytics, reporting, and AI use cases. Role & Responsibilities

Lead multiple analytics projects and initiatives within GBSC and Mastercard
Lead design and development of scalable data pipelines and platforms
Manage and mentor a team of data engineers
Partner with business and analytics teams to translate requirements into solutions
Drive best practices in data quality, governance, and security
Oversee end-to-end delivery of data engineering projects
Optimize data workflows for performance and scalability
Collaborate with cross-functional teams including Governance and AI/ML
Ensure operational stability through monitoring and continuous improvement

All About You

Experience in data engineering and ETL/ELT pipelines
Strong SQL and Python skills
Experience with data platforms (Eg: Databricks)
Understanding of data architecture (Lakehouse, Warehousing)
Strong stakeholder and team management skills
Experience working with large datasets and enterprise systems

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

Abide by Mastercard’s security policies and practices;

Ensure the confidentiality and integrity of the information being accessed;

Report any suspected information security violation or breach, and

Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.