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

Lead Data Platform Engineer:

Overview:

Are you an experienced data platform engineer with a passion for cloud data innovation and a strong sense of ownership and innovative spirit? The Cloud Data Platforms team is an excellent opportunity for you to design & develop the next wave of data innovation at Master Card. Our program is leading the efforts to bring our data and analytics expertise into the cloud.
We are looking for a Senior Cloud Platform Engineer to work on creating an AWS Cloud Native Data Platform. You will also work closely with cross-functional teams, including data scientists, data analysts, and software engineers, to help drive data-driven decision making throughout the organization.

The Role:

Developing the AWS Cloud Data Platform using AWS native services and stitching it all together based on the architecture.
Assist in troubleshooting and resolving platform and integration related issues.
Stay up to date with emerging technologies and trends in the data engineering and cloud space and willingness to learn and use new tools and platforms that can improve efficiency.
Work closely with platform engineers, data engineers and architects to make progress.
Follow Agile methodology, take ownership of the assigned tasks and deliver the results in timely manner.

All About You:

• Architect and implement robust data pipelines across large-scale distributed systems using AWS native services.
• Lead the development and maintenance of data platforms leveraging services such as:
• Data & Analytics: AWS Glue, EMR, MSK, Athena, Redshift
• Data Governance: Lake Formation, Glue Catalog
• Storage: S3 (General Purpose and S3 Tables)
• Monitoring: CloudWatch, CloudTrail
• Work hands-on with open table formats including Apache Iceberg and Parquet.
• Design and deploy infrastructure using CloudFormation and Infrastructure as Code (IaC) principles.
• Develop scalable solutions using at least one programming language (e.g., Python, Java).
• Collaborate with cross-functional teams to ensure data integrity, governance, and accessibility.
• Apply knowledge of big data technologies such as Hadoop, Ni Fi, Kafka, Impala, Hive, Oozie, and Airflow to enhance platform capabilities.
• Utilize data modeling techniques for both SQL and NoSQL systems and apply ETL and data warehousing best practices.
• Contribute to machine learning workflows and analytics using tools like Amazon Sage Maker and MWA.
• Proven experience in building and managing data platforms in cloud environments, especially AWS.
• Strong communication and collaboration skills, with the ability to work effectively with data professionals and business stakeholders.
• Detail-oriented with the ability to manage multiple priorities in a fast-paced, deadline-driven environment.
• Bachelor's degree or higher in Computer Science, Information Technology, or a related field.
  Nice to have:
• Cloud certifications
• AWS Data Engineer certification
  BI dashboard reporting experiences
  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_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

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.

In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more.

Pay Ranges

O'Fallon, Missouri: $138,000 - $221,000 USD
Atlanta, Georgia: $138,000 - $221,000 USD