Our PurposeMastercard 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 SummaryLead Data EngineerRole SummaryWe are looking for a Lead Software Engineer to design, build, and scale cloud-based data and analytics solutions within Mastercard’s Data Commercialization Platform (DCP).This role focuses on delivering Business Intelligence (BI), data engineering, and platform capabilities using Databricks, Snowflake, AWS, and Azure, while ensuring strong governance, scalability, and interoperability across multi-cloud environments.The ideal candidate will combine hands-on engineering expertise.Key ResponsibilitiesArchitecture & DevelopmentDesign and develop cloud-native data and BI solutions using Databricks and Snowflake on AWS.Build scalable, high-performance data pipelines and analytics frameworks supporting enterprise data products.Drive implementation of multi-cloud architecture leveraging AWS and Azure (Azure Databricks, ADLS Gen2).Platform Engineering & IntegrationEnable seamless integration across Databricks, Snowflake, AWS services, and Azure services.Build and maintain CI/CD pipelines, automation frameworks, and infrastructure-as-code for data platform provisioning.Implement secure and governed access patterns including RBAC, service principals, and enterprise identity integration.Support data platform interoperability across multiple compute engines and cloud providers.Required Qualifications8+ years of experience in software engineering / data engineering / platform engineeringStrong hands-on experience with:Databricks (AWS / Azure)SnowflakeAWS services (S3, Glue, EMR, IAM, etc.)Experience building cloud-based data platforms or BI/analytics solutionsStrong knowledge of distributed systems, data processing, and scalable architecturesExperience with CI/CD, Infrastructure as Code, and automationProven ability to lead technical design and mentor engineersPreferred QualificationsExperience with Azure (Azure Databricks, ADLS Gen2, AKS)Knowledge of open data formats (Delta Lake, Apache Iceberg)Experience with data governance frameworks and access control modelsExposure to multi-cloud architecture and cross-platform interoperabilityUnderstanding of FinOps, cost optimization, and platform observabilityCorporate Security ResponsibilityAll activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:Abide by Mastercard’s security policies and practices;Ensure the confidentiality and integrity of the information being accessed;Report any suspected information security violation or breach, andComplete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.