Mastercard
Financial Services
SeniorDataEngineer-Data&AIPlatform
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer - Data & AI Platform at Mastercard. Skills: Data pipelines, Platform engineering, Cloud data platforms, System design. Design scalable data pipelines. Build scalable data pipelines”
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Equivalent practical experience, Experience building data pipelines, Experience operating data systems, Hands-on experience with cloud data platforms, Solid understanding of data engineering fundamentals, Software engineering fundamentals, Experience with CI/CD, Experience with production operations, Experience with monitoring, Experience with incident response, Ability to independently deliver systems
Nice to Have
Experience supporting ML workloads, Experience supporting AI workloads, Familiarity with platform engineering principles, Experience in governed environments, Experience with data security requirements
What You'll Do.
Design scalable data pipelines
Build scalable data pipelines
Maintain scalable data pipelines
Design platform services
Build platform services
Maintain platform services
Develop reusable patterns
Prioritize reliability
Prioritize consistency
Prioritize ease of adoption
Build services for onboarding
Ensure security controls
Ensure isolation controls
Ensure governance controls
Contribute to platform capabilities
Translate requirements to architectures
Translate requirements to pipeline solutions
Implement batch workflows
Implement streaming workflows
Apply data modeling best practices
Apply schema management best practices
Apply pipeline optimization best practices
Ensure systems are scalable
Ensure systems are maintainable
Ensure systems are cost efficient
Contribute to platform automation
Simplify pipeline deployment
Enable consistent practices
Support standardized deployment
Support standardized provisioning
Support standardized operational workflows
Ensure data systems meet reliability requirements
Ensure data systems meet observability requirements
Ensure data systems meet data quality requirements
Ensure data systems meet performance requirements
Monitor production pipelines
Troubleshoot production pipelines
Perform root cause analysis
Implement improvements
Contribute to CI/CD practices
Contribute to testing strategies
Contribute to operational runbooks
How You'll Work.
Team & Collaboration
Partner with Software Engineers; Partner with AI Engineers; Partner with Data Scientists; Collaborate with platform teams; Collaborate with infrastructure teams; Collaborate with governance teams; Contribute to technical discussions; Contribute to design reviews; Contribute to architecture decisions
Full Job 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** ### Senior Data Engineer - Data & AI Platform ### Senior Data Engineer – Data & AI Platform ________________________________________ Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data, advanced technology, and strong partnerships, we help individuals, businesses, and governments realize their greatest potential. ________________________________________ About Business & Market Insights (B&MI) Business & Market Insights (B&MI) is Mastercard’s data, analytics, and intelligence organization, responsible for transforming vast, global data assets into actionable insights and decision-support products. B&MI builds platforms and solutions that embed advanced analytics, AI, and scalable data pipelines directly into customer workflows—enabling smarter decisions and measurable business outcomes. ________________________________________ Overview The Data & AI Foundations team builds scalable, enterprise-ready platforms that provide the data and AI infrastructure underpinning Mastercard’s analytics and insights products. This is a platform engineering role. We build reusable services, standardized patterns, and automation that enable dozens of teams to move faster—from raw data to production-ready insights. The focus is on building systems t
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