Manager, Platform Engineering - Big Data Engineering

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, Platform Engineering - Big Data Engineering

Overview

The Manager, Platform Engineering leads a team responsible for designing, building, and operating scalable, secure, and resilient platform infrastructure. This role combines hands-on technical leadership across Mastercard's Big Data Engineering team with people management responsibilities, enabling teams to deliver high-quality solutions aligned to enterprise priorities.

This leader will drive adoption of modern engineering practices, including infrastructure as code, container platforms, CI/CD pipelines, and microservices architectures, while fostering a high-performing, collaborative team environment.

Role

Platform & Cloud Engineering Leadership

* Lead the design and delivery of cloud infrastructure solutions that meet scalability, resilience, security, and cost efficiency requirements

* Oversee the development and operation of container platforms and orchestration environments (e.g., Kubernetes)

* Ensure platform capabilities support evolving application performance and business needs

Dev Ops & Automation

* Establish and mature CI/CD pipelines and engineering workflows to enable efficient, high-quality software delivery

* Drive adoption of Infrastructure as Code (IaC) to ensure consistent, automated infrastructure provisioning and management

* Champion automation, reducing manual processes and increasing reliability and speed

Distributed Systems & Microservices

* Guide teams in building and operating distributed systems and microservices architectures

* Ensure systems are designed for fault tolerance, scalability, and performance

* Oversee monitoring, observability, and operational health across platform services

Software Engineering & Technical Enablement

* Provide technical direction across software programming practices and frameworks

* Ensure engineering solutions meet standards for performance, maintainability, and reliability

* Partner with application teams to align platform capabilities with development needs

Infrastructure & Operating Systems

* Oversee management of operating systems and core IT infrastructure components (compute, storage, networking)

* Ensure platform environments are stable, performant, and aligned with enterprise standards

People Leadership & Enterprise Mindset

This role includes direct people leadership with developing proficiency in leadership capabilities:

Team Leadership

* Build and develop a high-performing, inclusive engineering team

* Provide coaching, feedback, and growth opportunities for team members

* Support hiring and talent development aligned to future capability needs

Enterprise Leadership Behaviors

* Delivers Results:
Drives accountability and execution against business objectives

* Navigates Complexity:
Leads teams through ambiguity and cross-functional dependencies

* Drives Change:
Promotes new technologies, tools, and ways of working

* Fosters Enterprise Mindset:
Connects team output to broader organizational impact

* Shapes Strategy (Developing):
Contributes to platform and technology strategy through insights and innovation

All About You

Required Qualifications

* Experience leading high performing engineering teams with a customer-focused mindset. Attracts, grows, and develops exceptional, future-ready talent in a platform, cloud, or Dev Ops environment

* Strong expertise across Big Data platforms and technologies such as Hadoop, Cloudera, etc.

* Experience managing or operating distributed systems and microservices architectures

* Proficiency in at least one programming language (e.g., Python, Java, Go)

* Strong understanding of operating systems and enterprise IT infrastructure

* Experience integrating security requirements into platform engineering practices

Preferred Qualifications

* Experience in enterprise-scale or regulated environments

* Experience optimizing cloud cost, performance, and scalability

Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable and identify the type of accommodation or assistance you are requesting.

Do not include any medical or health information in this email. The Reasonable…