Title and Summary

Manager, Software Engineering

Who is Mastercard?
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution.

Overview

The Mastercard Data Platform & Engineering Services team is looking for an Engineering Manager to drive our mission to unlock the potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories and enforcing standards and practices in the Big Data space. This role will be responsible for enablement of Cloud data platforms for Mastercard transaction data warehouse. These are new platforms that will operate in a hybrid model along side Mastercard's existing on-premise Hadoop Data Warehouse that is being used by various groups to derive insights, perform Machine Learning and Data Science activities which in turn supports various revenue generating initiatives across the organization.

Role

• Design and develop high-quality, secure, scalable software solutions based on technical requirements specifications and design artefacts within expected time and budget
• Develop and build solutions on cloud data platforms like AWS and on-prem using Big data tech stack to industry standards.
• Build governance framework for cloud data storage and usage for enterprise data warehouse.
• Collaborate on cross-functional agile teams that include Front-end Developers, Report/BI Developers and Product Owners to implement the next generation of enterprise application
• Manage a team of highly skilled Data warehouse and Business Intelligence developers
• Provide technology leadership to the development team in the relevant domain
• Provide technology leadership to other leaders
• Stay abreast of Analytics technology trends and industry best practices to hone and maintain your talent
• Participate in architectural discussions, iteration planning, and feature-sizing meetings
• Adhere to Agile processes and participate actively in Agile ceremonies
• Stakeholder management skills

All About You

Experience managing, developing and supporting Big Data warehouse and/or BI reporting solutions, ETL solutions and other analytics solutions. Exposure to new technology trends like Spark, Scala/Python and similar technology is added advantage.

• Experience in managing development/engineering teams in a global and high-paced environment
• People management experience of running 2 - 3 scrum teams with multiple business stakeholders
• Understanding of Exadata Oracle OR equivalent databases
• In-depth practical experience in Big Data technology like Spark, Scala/Java/Python, Hive, Hadoop, Object storage and cloud technology stack - Azure and/or AWS.
• Strong understanding of cloud devops practices and implementation.
• Hands-on experience with various cloud services like Azure Data Factory, NiFi, Snowpipe, Athena etc.
• Understanding of cloud data governance include compute optimization, cost control, user profile management etc.
• Experience in establishing a new engineering team and working towards taking the team to a steady state
• Understanding of SDLC and experience in establishing processes, standards and governance to bring efficiency to the development team
• Prior Reporting development experience in Data Warehouse environment
• In-depth understanding of Business Intelligence solutions for customers
• Exposure and understanding of complete SDLC
• Experience in AGILE methodology
• Experience in working in global teams and should be technically strong

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.