Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, weāre helping build aĀ sustainableĀ economy where everyone can prosper. We support a wide range of digital payments choices, making transactionsĀ 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
Vice President, Data Engineering
Overview:
Mastercard Services Technology team is seeking a Vice President of Data Engineering to lead the transformation of our enterprise data ecosystem and unlock the full value of Mastercardās data assets. This role will drive innovation in how we manage, store, govern, and access large-scale data across both public cloud and on-premise environments, while establishing consistent engineering standards and principles across the Big Data landscape.
This is a high-impact leadership role responsible for defining and delivering modern, scalable, and secure data and AI platforms across AWS and Azure. The scope includes platform strategy, enterprise governance, engineering excellence, and the establishment of best practices across global data and platform teams.
This is a hands-on technical leadership role, with deep involvement in data engineering and architecture design and implementation. At the initial stage, this role will not have direct reports; however, as the platform and team evolve, it is expected to build and lead a team of approximately 5ā10 engineers and platform specialists.
We are looking for a leader who thrives in fast-paced environments, balances strategic vision with hands-on execution, and delivers measurable business impact through technology.
Role:
ā¢ Define and lead the architecture of end-to-end cloud-native data platforms, including lakehouse architectures built on S3, Azure Data Lake, Databricks, and related technologies.
ā¢ Provide technical leadership across data engineering, platform engineering, and DevOps organizations, guiding engineering leaders and cross-functional teams
ā¢ Act as a hands-on architect and engineer, contributing directly to the design, development, and implementation of core data platform components.
ā¢ Lead DevOps transformation initiatives, including CI/CD pipelines, infrastructure-as-code, and fully automated multi-cloud deployment models.
ā¢ Establish and enforce enterprise cloud security standards, including IAM, encryption, network security, and regulatory compliance (e.g., GDPR, HIPAA)
ā¢ Design and implement enterprise-grade data governance frameworks, including data cataloging, lineage, classification, and access control using tools such as AWS Lake Formation and Azure Purview.
ā¢ Architect and deliver scalable batch and streaming data pipelines supporting large-scale ETL/ELT workloads across data lakes and data warehouses.
ā¢ Implement and operationalize Lakehouse architectures using the medallion model (Bronze, Silver, Gold) across AWS services (Glue, Lake Formation, EMR, Athena) and Databricks.
ā¢ Translate complex business requirements into scalable, secure, and high-performance technical solutions in close partnership with product and engineering stakeholders.
ā¢ Drive operational excellence by improving performance, scalability, reliability, and cost efficiency of data platforms.
ā¢ Define and institutionalize architecture standards, engineering best practices, and operational frameworks across teams.
ā¢ Mentor engineers and future team members while building and scaling a high-performing team of 5ā10 data engineers and platform engineers as the organization grows.
All About You:
ā¢ Proven experience as a Director or Vice President of Data Engineering, Data Architecture, or similar senior technical leadership roles.
ā¢ Strong hands-on experience in data engineering and architecture, with the ability to design and implement solutions directly when needed.
ā¢ Experience leading or scaling globally distributed engineering teams across multiple geographies.
ā¢ Deep expertise in AWS and Azure services, including S3, EC2, Lambda, Glue, Flink, Lake Formation, Azure Data Factory, Azure Fabric, Synapse, and Databricks.
ā¢ Strong experience building DevOps pipelines and infrastructure-as-code using Terraform, CloudFormation, ARM templates, Azure DevOps, or GitLab CI/CD.
ā¢ Strong understanding of cloud security architecture, including IAM design, encryption strategies, and governance frameworks.
ā¢ Experience with containerization and orchestration technologies such as Docker, Kubernetes, ECS, or AKS.
ā¢ Strong background in data engineering frameworks such as Spark, PySpark, and large-scale distributed ETL systems.
ā¢ Proven success delivering production-grade Lakehouse architectures using the medallion model.
ā¢ Strong leadership skills with demonstrated ability to influence senior stakeholders and drive cross-functional alignment.
ā¢ Experience with data governance platforms such as AWS Lake Formation or Azure Purview.
ā¢ Familiarity with observability and monitoring tools (CloudWatch, Azure Monitor, ELK, etc.)
ā¢ Experience with cloud cost optimization and financial accountability for large-scale platforms.
ā¢ Exposure to MLOps practices and integration of machine learning pipelines into data platforms.
ā¢ Strong experience working in Agile/Scrum environments.
ā¢ Strong executive communication and stakeholder management skills, with demonstrated experience engaging and influencing senior leadership and executive audiences, and the ability to convey complex ideas clearly to diverse audiences.
ā¢ Bachelorās degree in a quantitative field such as Engineering, Mathematics, Computer Science, or related discipline, or equivalent practical experience.
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This role is not eligible for Mastercardās work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship.
#LI-NF1
Mastercard is a merit-based, inclusive, equal 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. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment 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 Mastercardās 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 Mastercardās guidelines.
In line with Mastercardās total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. 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 of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 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; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.
Pay Ranges
San Francisco, California: $254,000 - $407,000 USD