Senior Data Engineer

Who you are

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics, or a related technical field
• Experience designing, developing, and supporting large-scale data engineering and platform engineering solutions
• Hands-on experience with Databricks, Snowflake, Apache Iceberg, Delta Lake, and AWS and/or Azure
• Strong proficiency in Python, SQL, Spark/PySpark, and data engineering best practices
• Experience building batch and real-time data processing pipelines
• Experience with orchestration and workflow automation tools (e.g., Airflow)
• Experience with CI/CD, Git, automated testing, Infrastructure as Code, and production support
• Understanding of data governance, security controls, data quality, metadata, and lineage
• Strong analytical, problem-solving, communication, and collaboration skills
• Preferred Qualifications
• Experience with Kafka and event-driven architectures
• Experience with Data Contracts, Data Mesh, and data product architectures
• Experience supporting AI/ML and advanced analytics workloads
• Experience with Terraform and cloud infrastructure automation
• Knowledge of enterprise security, IAM, encryption, and privacy controls
• Experience working in financial services or other highly regulated industries

What the job involves

• The Data Commercialization Platform (DCP) is Mastercard’s cloud-native data and analytics platform focused on building secure, scalable, governed, and reusable data products
• The platform leverages Databricks, Snowflake, Apache Iceberg, Delta Lake, and AWS/Azure to enable enterprise data sharing, analytics, AI/ML, and data commercialization capabilities. The role contributes to both data product development and platform engineering, ensuring reliable, secure, and compliant data solutions
• Design, develop, and support cloud-native data products and platform capabilities
• Build and operate scalable batch and streaming data pipelines
• Develop reusable frameworks, accelerators, and platform services on Databricks, Snowflake, Iceberg, and cloud platforms
• Implement data governance, security, observability, and operational controls
• Support platform modernization, automation, and engineering excellence through CI/CD and Infrastructure as Code
• Collaborate with product, architecture, platform, governance, and business teams to deliver enterprise data solutions
• Participate in production support, operational readiness, and continuous improvement activities

The application process

• End Date: October 10, 2026