• Lead, coach, and develop a team of Lead and Senior Analytics Engineers - driving career growth, performance and a high-trust team culture. • Stay deeply hands-on: write and review SQL/dbt code, drive technical design, and uphold a high bar for craftsmanship, testing and documentation across our Snowflake + dbt stack. • Own the roadmap for your team’s portion of the analytics platform - prioritizing work that drives the most business impact and balancing delivery, quality and technical debt. • Drive Forward’s data centralization vision by partnering with Business Intelligence and wider Analytics group to design and deliver scalable data models, marts, and a reliable semantic layer that serves as the company’s single source of truth. • Lead the build-out of our semantic layer and metrics standards so key business KPIs are defined once, governed clearly, and consumed consistently across dashboards, models, AI agents, and downstream products. • Translate ambiguous business problems from leadership and cross-functional stakeholders into well-scoped technical solutions, communicating tradeoffs clearly to both technical and non-technical audiences. • Champion data quality, observability, and governance - including testing, lineage, cataloging, and incident response - so stakeholders can trust the numbers. • Drive technical excellence in our dbt project: model architecture, performance tuning, incremental strategies and CI/CD practices that scale as data volume and team size grow. • Help shape our hiring bar - recruit, interview and onboard exceptional Analytics Engineers as the team continues to grow.

• Lead, coach, and develop a team of Lead and Senior Analytics Engineers - driving career growth, performance and a high-trust team culture. • Stay deeply hands-on: write and review SQL/dbt code, drive technical design, and uphold a high bar for craftsmanship, testing and documentation across our Snowflake + dbt stack. • Own the roadmap for your team’s portion of the analytics platform - prioritizing work that drives the most business impact and balancing delivery, quality and technical debt. • Drive Forward’s data centralization vision by partnering with Business Intelligence and wider Analytics group to design and deliver scalable data models, marts, and a reliable semantic layer that serves as the company’s single source of truth. • Lead the build-out of our semantic layer and metrics standards so key business KPIs are defined once, governed clearly, and consumed consistently across dashboards, models, AI agents, and downstream products. • Translate ambiguous business problems from leadership and cross-functional stakeholders into well-scoped technical solutions, communicating tradeoffs clearly to both technical and non-technical audiences. • Champion data quality, observability, and governance - including testing, lineage, cataloging, and incident response - so stakeholders can trust the numbers. • Drive technical excellence in our dbt project: model architecture, performance tuning, incremental strategies and CI/CD practices that scale as data volume and team size grow. • Help shape our hiring bar - recruit, interview and onboard exceptional Analytics Engineers as the team continues to grow.

• Ownership de la capa analítica. • Diseñar y mantener modelos de datos analíticos en DBT, asegurando la trazabilidad, eficiencia y calidad de los datasets. • Construir y optimizar consultas complejas mediante SQL en BigQuery. • Gestionar la creación de tablas, vistas, rutinas y queries programadas (scheduled queries) para asegurar la disponibilidad y calidad de los datos. • Contribuir a la optimización del rendimiento y la eficiencia de costes del Data Warehouse. • Definir, estandarizar y documentar métricas y KPIs para garantizar su consistencia en toda la organización. • Colaborar con los equipos de negocio para entender necesidades analíticas y traducirlas en modelos de datos escalables y reutilizables. • Desarrollar y mantener dashboards y visualizaciones en Metabase y Tableau, asegurando su alineación con los modelos analíticos. • Garantizar que las visualizaciones estén alineadas con modelos de datos fiables y bien definidos. • Implementar procesos de testing y validación de datos (data quality) dentro de DBT. • Participar en la definición de buenas prácticas de versionado, testing y documentación en Git. • Contribuir a la mejora continua de la arquitectura de datos junto al 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 Analytics Engineer Overview• Responsible for defining and maintaining the data architecture and associated data maintenance, integration and load processes for the organization Responsibilities• Identifies and selects appropriate technologies, develops, builds, maintains and tests database technologies, including associated software products• Supports the development of SQL tuning statement procedures to optimize SQL tuning and query development• Assists in performing database implementations to ensure configuration, process, and procedure standards are in place• Supports database security posture which includes escalating potential concerns, and implementing both risk mitigation plans and control functions• Drafts and reviews status reports and performs implementation and troubleshooting activities• Provides high-level technical assistance to development programmers and customers to ensure proper database performances• Implements business and process improvements, formulating recommendations to increase database performance efficiencies• May manage smaller project/initiatives as an experienced individual contributor with specialized knowledge within assigned discipline Experiences• Experience in at least one database technology, technical or application area• Experience designing and testing database architecture standards or frameworks• Gains exposure to automation and/or cloud delivery effort• Experience participating in an assigned global technology domain or sub-domain (e.g., providing inputs around specific technologies)• Participates in business resource groups and global communities• Experience in AWS and Databricks• Python, Spark and Lakehouse knowledge Corporate Security Responsibility All 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, and - Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.