Director, Data Engineering

Our Purpose 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. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results. Title and Summary Director, Data Engineering Overview As the Director of Data Engineering, you will lead the vision and roadmap for enhanced on-premises and cloud-enabled data products and services for Mastercard Data and Services. In this role, you will provide strategic direction, technical expertise, and hands-on leadership to build and optimize data pipelines, analytics solutions, and data services. Our mission is to create a digital economy that is all-encompassing, inclusive, and benefits everyone by ensuring secure, smart, accessible, and straightforward transactions. We leverage secure data and networks, form partnerships, and work with passion to provide solutions that help individuals, financial institutions, governments, and businesses realize their potential. At the heart of our culture is our decency quotient (DQ), which drives everything we do inside and outside our organization. We foster an inclusive culture that values and respects the unique strengths, perspectives, and experiences of all employees. We believe that our differences enhance our ability to work as a team, make better decisions, drive innovation, and deliver superior business results. Responsibilities - As a Director of Data Engineering, you will be instrumental in driving innovation, ensuring data quality, and fostering collaboration across teams to harness the power of data for informed decision-making. - Lead the design of new data capabilities and infrastructure related to accessing and using MA, third party, and partner data to power Mastercard data products and solutions. - Develop a horizontal technology roadmap in conjunction with Data Strategy & Management team input to enable technology solutions for managing data that meet the needs of multiple business stakeholder groups. - Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation. - Provide technical leadership in data architecture, ensuring best practices for data modeling, storage, and retrieval. - Collaborate with cross-functional teams to define data requirements and design solutions that align with business objectives. - Oversee data governance and quality, ensuring data accuracy, consistency, and compliance with industry standards. - Drive the adoption of advanced analytics techniques and technologies to unlock insights from large datasets. - Mentor and guide a team of data engineers, fostering a culture of continuous learning and professional growth. - Stay current with emerging trends and technologies in the data engineering field, incorporating them into the organization's data strategy. - Collaborate with stakeholders to identify opportunities for data-driven innovations that enhance business outcomes. - Establish and enforce data security and privacy protocols to safeguard sensitive information - Drive the adoption of agile methodologies and DevOps practices to ensure efficient and high-quality data engineering processes. Additional tasks - 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. About You: • Bachelor's or Master's degree in Computer Science, Engineering, or a related field • Extensive experience in data engineering, with a strong track record of designing and implementing data solutions. • Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks (Spark, Hadoop, Databricks, Snowflakeetc.) • In-depth understanding of data warehousing concepts, cloud platforms (AWS, Azure, GCP), and data modeling techniques • Strong knowledge of SQL and NoSQL databases, as well as data integration and transformation tools • Demonstrated experience in architecture, design and development of scalable distributed event driven data products. • Experience in anonymizing data, data product development, analytical models, and AI governance • Ability to create strategies and plans that define how information can be utilized to support an organization's overall business strategy, and how that information and data is organized, and governed inside an organization. • Familiarity with industry best practices for collection and use of data • Strong project management skills and a demonstrated ability to understand complex information product constructs. • Outstanding problem-solving skills and the ability to navigate complex data challenges. • Effective communication and collaboration skills to work with both technical and non-technical stakeholders. • Experience with agile methodologies, DevOps practices, and CI/CD pipelines #LI-TE1 In the US, Mastercard is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. If you require accommodations or assistance to complete the online application process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. 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. In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. 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. Pay Ranges Arlington, Virginia: $190,000 - $304,000 USD Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.

Salary : $186,000 - $289,000