Director, 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

Director, Data Engineering - Finance ModernizationMastercard Overview

Mastercard is seeking talented professionals to join our team and contribute to our mission of connecting and powering an inclusive, digital economy that benefits everyone, everywhere. Our ideal candidate thrives in a collaborative environment, embraces challenges, and is committed to achieving excellence. If you are ready to advance your career and be part of a forward-thinking company that values creativity, dedication, and professional growth, we invite you to explore this exciting opportunity with Mastercard.

Role Overview

Mastercard is on a journey to modernize and advance our Finance Technology landscape, covering Billing, Financial Planning, Accounting, Settlement, Treasury, Reporting and Analytics. As Director, Data Engineering, you will play a critical role in shaping and executing the technical roadmap. You will lead a scrum team of engineers to design, develop, and deliver high-impact software features that align with our business and technical objectives. By collaborating with cross-functional teams, including business/product owners and other technical experts, you will ensure that our solutions meet evolving customer needs while improving performance, scalability, and reliability. This role offers the chance to drive technical excellence, mentor engineers, and develop solutions in a dynamic, fast-paced environment.

Responsibilities

As Director, Data Engineering, you will be responsible for the following:

• Lead a scrum team of engineers to develop and maintain an end-to-end finance data stack, encompassing data ingestion, transformation, storage, and analytics capabilities that support Mastercard's Finance Modernization initiative.
• Collaborate closely with finance, business and technical stakeholders to translate requirements into technical specifications, driving features from inception to delivery.
• Partner with data and engineering teams to establish robust data pipelines, implement advanced data modeling, and ensure seamless integration across diverse systems and domains.
• Facilitate trade-off discussions with both business and technical stakeholders to balance priorities and make informed decisions.
• Ensure alignment between business goals and technical execution, making sure features and solutions meet business requirements and customer needs.
• Lead sprint planning, retrospectives, and other agile ceremonies to ensure the team is aligned and delivering efficiently.
• Drive the adoption of best practices in software engineering, including code reviews, testing, and continuous integration/continuous delivery (CI/CD).
• Monitor and improve system performance, reliability, and user experience, applying feedback from operational data and user input.
• Optimize the cost/benefit of software features and architecture, ensuring scalability, performance, and operational efficiency.
• Take ownership of the end-to-end software development lifecycle, ensuring timely and high-quality delivery of features.
• Act as a technical leader within the scrum team, providing guidance on complex technical challenges and driving resolution.
• Identify opportunities for process improvements, helping to streamline workflows and enhance team productivity.
• Mentor and guide engineers across various experience levels, helping them grow technically and improve their software engineering skills.
• Ensure solutions align with Mastercard's engineering and data principles, and technical policies.

Skills and Experiences

• Proven experience as a software engineer and technical lead, with a strong focus on delivering large-scale software projects in an agile environment.
• Experience in data lifecycle management, including ingestion, ETL, modeling, and governance, within highly regulated environments.
• Expertise in modern software engineering practices, including agile methodologies, CI/CD, automated testing, and code reviews.
• Experience in partnering with data and engineering teams to build and manage a single source of truth for data, leveraging end-to-end technology stacks and best practices in data architecture.
• Strong programming skills in multiple languages and frameworks, with a focus on building scalable, reliable, and performant solutions.
• Experience leading and mentoring software engineering teams, helping engineers grow and improve their technical capabilities.
• Ability to translate business and customer requirements into technical specifications, driving the development of high-impact software features.
• Experience with performance engineering, ensuring systems are built to scale and meet varying demands.
• Experience with cloud infrastructure and services (e.g., AWS, Azure, Google Cloud), and cloud-native software design.
• Proven ability to collaborate with cross-functional teams, including business/product owners, and technical stakeholders.
• Strong communication and leadership skills, with the ability to engage and influence both technical and non-technical audiences.
• Knowledge of security best practices and experience in ensuring the secure development of applications.
• Experience in driving technical decision-making and trade-offs, balancing competing priorities such as business goals, technical constraints, and user experience.
• Ability to identify process inefficiencies and drive continuous improvement initiatives within the team.

Qualifications

• Bachelor's degree in Data Science, Engineering, Computer Science, or related field.
• 10+ years of engineering experience in software, data engineering, or related field.
• Bonus: prior experience in financial systems, such as Oracle Financials, Oracle Fusion Cloud, and Hyperion, with experience optimizing their integration into broader data ecosystems.

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.