Cloud Data Engineer Lead

1 day ago

O Fallon, United States Mastercard Full time
About the Role

We are seeking a highly skilled Cloud Data Engineer Lead to join our team at Mastercard. As a key member of our Data Warehouse team, you will be responsible for driving our mission to unlock the potential of our data assets by consistently innovating and eliminating friction in how users access data from our Big Data repositories.

You will be responsible for enabling cloud data platforms for Mastercard transaction data warehouse, working closely with cross-functional agile teams, and providing technology leadership in the cloud big data space to development and product teams.

Key Responsibilities
  • 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.
  • Stay abreast of Data Platform technology trends and industry best practices to hone and maintain your talent.
Requirements
  • 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.
  • Experience working with development/engineering teams in a global environment.
  • 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.
  • Strong understanding and hands-on on cloud security models, encryption strategy, network layers for on-prem + cloud hybrid model and other related concepts.
About 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.

We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results.

We are committed to creating a culture of inclusion for all employees that respects their individual strengths, views, and experiences.

What We Offer

Mastercard benefits for full-time (and certain part-time) employees generally include:

  • Insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account.
  • Paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave).
  • 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays.
  • 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more.

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