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
Overview:
Marketing Services Technology is seeking a Senior Data Engineer to build scalable data platforms, pipelines, and services that power marketing measurement, customer insights, campaign optimization, advanced analytics, and AI/ML capabilities.
This role partners with Product Management, Engineering, Data Science, Analytics, and Business teams to deliver secure, reliable, and high-quality data solutions. The Senior Data Engineer will also contribute to cloud modernization, platform architecture, automation, and operational excellence across the Marketing Services data ecosystem.
Role:
• Design, build, deploy, and maintain scalable batch, streaming, and real-time data pipelines.
• Develop reusable frameworks for data ingestion, transformation, orchestration, and delivery.
• Build and support enterprise data lake, data warehouse, and lakehouse solutions.
• Improve platform scalability, performance, reliability, resiliency, and operational efficiency.
• Implement data quality, observability, governance, security, lineage, and monitoring capabilities.
• Enable reporting, advanced analytics, experimentation, AI/ML, and customer insight use cases.
• Support the migration of legacy platforms to modern cloud-native architectures.
• Establish engineering standards across CI/CD, infrastructure as code, testing, automation, and production support.
• Troubleshoot complex production issues and lead root-cause analysis to improve service reliability.
• Partner with product, engineering, analytics, and business teams to translate requirements into scalable data solutions.
• Mentor engineers and provide technical leadership across data initiatives.
• Contribute to architectural decisions and technology roadmaps for Marketing Services data platforms.
All About You:
• Bachelor’s degree or equivalent experience in computer science, engineering, information systems, or a related technical field.
• Strong experience designing scalable data platforms and distributed data-processing solutions.
• Proficiency in SQL and at least one programming language such as Python, Java, or Scala.
• Experience with technologies such as Spark, Kafka, Hadoop, or comparable large-scale data-processing frameworks.
• Experience building data pipelines for analytics, reporting, machine learning, and operational data products.
• Strong understanding of data modelling, ETL/ELT patterns, data architecture, and data lifecycle management.
• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of data governance, security, privacy, lineage, metadata management, and regulatory requirements.
• Experience with Git, CI/CD, DevOps automation, infrastructure as code, testing, deployment, and observability.
• Strong problem-solving skills with experience diagnosing complex issues in distributed environments.
• Ability to balance technical quality with business priorities and customer outcomes.
• Strong communication and collaboration skills across engineering, product, analytics, and business teams.
Preferred Experience:
• Experience leading technical initiatives, influencing architectural decisions, or mentoring engineers.
• Experience modernizing legacy data platforms or supporting cloud migration programmes.
• Exposure to marketing technology, campaign measurement, customer insights, or marketing analytics.
• Advanced degree in a related technical discipline.
Mastercard is a merit-based, inclusive, equal…