Lead Cloud Data Engineer - Databricks

We work 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.

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. Overview The Mastercard Data Warehouse team is looking for a Lead Cloud Data Engineer to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories and enforce standards and principles 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 Mastercards 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 artifacts within expected time and budget • Develop and build solutions on cloud data platforms

• Databricks - adhering to industry standards. • Develop and build Databricks as a platform for the engineering community to use • Build governance framework for cloud data storage and usage for enterprise data platforms. • Collaborate on cross-functional agile teams - that include Developers, Report/BI Developers and Product Owners • Work closely with Product Owners to understand cloud use cases and determine the best way to implement those. • Provide technology leadership in the cloud big data space to development and product teams. • Provide technology leadership to other leaders in big data and cloud data platform space. • Stay abreast of Data Platform 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 •12-15 years of hands on experience with Cloud data platform •Hands on experience in Databricks and deep understanding of its architecture •Experience managing, developing and supporting data lakes, lakehouses, warehouse on premise and on cloud, ETL solutions and other analytics solutions. Exposure to technology trends like R, Python and similar technology is added advantage. •Experience working with development/engineering teams in a global environment •In depth practical experience on native cloud services

• Azure and/or AWS. •Strong understanding of cloud DevOps practices and implementation. •Experience in cloud data migration for large sized enterprise data warehouse environments. •Understanding of cloud data governance include compute optimization, cost control, user profile management etc. •In depth understanding of cloud operations strategy and user management across various cloud providers and cloud platforms. •Strong understanding and hands-on on cloud security models, encryption strategy, network layers for on-prem cloud hybrid model and other related concepts. •Experience in establishing new engineering team and working towards taking the team to steady state •Understanding of database technologies like Exadata/Oracle/Netezza/SQL server databases •Understanding of SDLC and experience in establishing processes, standards and governance to bring efficiency within development team