Senior Data Engineer

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 Marketing Services Technology (MST) is responsible for delivering the platforms, data products, and technology capabilities that power marketing measurement, customer insights, campaign optimization, and data-driven decision making across Mastercard. We are seeking a highly motivated Senior Data Engineer to design, develop, and operate scalable data platforms, pipelines, and services that support Marketing Services products and analytics capabilities. This role partners closely with Product Management, Engineering, Data Science, Analytics, and Business stakeholders to deliver secure, reliable, and high-quality data solutions that enable campaign measurement, reporting, customer insights, AI/ML initiatives, and marketing optimization. The ideal candidate is passionate about building modern data platforms, solving complex data challenges at scale, and driving continuous improvement through automation, modernization, and operational excellence. This role offers the opportunity to influence future-state data architecture, accelerate cloud transformation initiatives, and contribute to strategic data capabilities that support Mastercard's business growth. As a Senior Data Engineer, you will: Design, build, deploy, and maintain scalable batch, streaming, and real-time data pipelines supporting business-critical products and analytics workloads. Develop reusable frameworks and services for data ingestion, transformation, orchestration, and data delivery across multiple platforms and environments. Build and support enterprise data lake, warehouse, and lakehouse solutions that enable large-scale data processing and analytics. Lead initiatives focused on platform scalability, performance optimization, reliability, resiliency, and operational efficiency. Implement and enhance data quality, observability, governance, security, lineage, and monitoring capabilities across data ecosystems. Partner with product, engineering, analytics, and business teams to understand data requirements and deliver solutions that drive measurable business outcomes. Support modernization and cloud migration initiatives, helping evolve legacy platforms to modern cloud-native architectures. Enable advanced analytics, reporting, AI/ML, experimentation, and customer insights use cases through robust and trusted data foundations. Establish engineering best practices, development standards, CI/CD automation, infrastructure-as-code, and data platform operational excellence. Troubleshoot complex production issues and lead root-cause analysis efforts to improve platform stability and service reliability. Mentor engineers and contribute technical leadership across multiple initiatives, promoting innovation, knowledge sharing, and engineering excellence. Drive continuous improvement through automation, simplification, and adoption of modern data engineering practices and technologies. Contribute to architectural decisions and technology roadmaps that shape the future of Mastercard's Marketing Services data platforms. All About You Extensive experience designing and building scalable data platforms and distributed data processing solutions. Strong expertise in modern data engineering technologies including Spark, Kafka, Hadoop ecosystem technologies, cloud-native data services, and large-scale data processing frameworks. Proficiency in one or more programming languages such as Python, Java, Scala, or SQL. Experience developing