Job Title:

Principal Data Engineer - Finance Modernization

Overview:

Mastercard 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 a Principal Data Engineer, you will play a critical role in shaping and executing the finance transformation technical roadmap. You will be responsible for designing, developing, and delivering high-impact technology solutions 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 opportunity to drive technical excellence, mentor engineers, and build solutions in a dynamic, fast-paced environment.

Responsibilities
As a Principal Data Engineer, you will be responsible for the following:
• 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.
• Participate in 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).
• Optimize the cost/benefit of software features and architecture, ensuring scalability, performance, and operational efficiency.
• Act as a technical leader providing guidance on complex technical challenges and driving resolution, ensuring solutions align with Mastercard’s engineering and data principles, and technical policies.
• 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 and data engineering skills.

Skills and Experiences
• Proven experience as a software/data engineer and technical lead, with a strong focus on delivering large-scale software projects in an agile environment.
• Experience with 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.
• 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, Computer Science, or related subject.
• 10+ years of engineering experience in software, data engineering, or related field.
• Prior experience with financial systems, such as Oracle Financials, Oracle Fusion Cloud, and Hyperion, with experience optimizing their integration into broader data ecosystems, is a plus.