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.
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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.
