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Director of Data Engineering - Client Data Health

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions 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

Director of Data Engineering - Client Data Health

Overview:
Mastercard’s Test & Learn team is seeking a Director of Data Engineering focused on the Data Health of Test & Learn clients. In this role, you will play a critical part in ensuring the quality, integrity, and readiness of client data for experimentation and analytics. You will manage multiple high-performing teams of data engineers, partnering with cross-functional stakeholders to design scalable solutions that support impactful decision-making and deliver superior client outcomes.
The Test & Learn team within Mastercard's Services organization aims to build industry-leading business experimentation software that brings sophisticated analytic techniques to business users around the world. We are rapidly expanding our product offerings and innovating on how we deliver Test & Learn solutions to our clients.
Engineers work in small, flexible teams. Every team member contributes to designing, building, and testing features. There are no rigid organizational structures, and each team uses processes that work best for team members and projects.
This hybrid position is based in Arlington, VA or San Francisco, CA, requiring three days per week onsite.

Role:
• Manage multiple teams focused on delivering on-time, accurate, high-value, robust data solutions across multiple clients, solutions, and industry sectors.
• Responsible for ensuring Test & Learn clients have healthy data setups and ETL pipelines by owning and enhancing the Client Data Health Score.
• Manage the identification, prioritization, and execution of data renovations to improve the health of at-risk clients.
• Own and improve the internal JIRA support processes for supporting Advisors Client Services and Data Engineers with data-related issues for Test & Learn projects within the agreed upon SLAs.
• Identify ways to upskills Data Engineers and BizOps Engineers in the latest coding best practices and ensure consistent code quality across the globe.
• Enhance big data pipelines using SQL, Python, R, SSIS and PowerShell to address complex technical challenges and seamless communication with several cloud storage technologies.
• Leverage new SQL Server features such as Column store Indexes, In-Memory OLTP, Incremental statistics, Trace Flags, SQL CLR functions, window aggregate functions, and parallel computing algorithms to reduce the processing time of multi-billion row data sets.
• Lead large-scale efforts to improve the automation capabilities of the team. Identify and implement techniques to optimize and routinize repeatable tasks for Test & Learn and other D&S data setups. Collaborate with other teams to further data automation capabilities.
• Act as an expert data and technical resource within the team and region and provide mentorship and guidance to multiple teams and product areas.
• Build trust-based working relationships with peers and clients across local and global teams.
• Work with other team leaders to create and implement the future vision of the team's capabilities and growth across multiple areas and functions.
• Comply with and uphold all Mastercard internal policies and external regulations.

All Abut You:
• Extensive experience as a Data Engineer or in a similar role, with deep knowledge of data engineering concepts and methodologies.
• Strong hands-on expertise with Relational Database Management Systems (RDBMS), particularly Microsoft SQL Server.
• Proficiency with at least one scripting language (e.g. PowerShell, Python)
• Knowledge of testing and validating data to ensure accuracy and consistency in data pipelines.
• Agile methodologies experience.
• Demonstrated skills in managing projects, people, and tasks across multiple geographies and business units.
• Ability to easily move between business, data management, and technical teams.
• Ability to quickly intuit the business use case and identify technical solutions to enable it.
• Proven track record of leading and innovating on large efforts with demonstrated successes.
• Ability to manage multiple initiatives simultaneously and adapt to changing priorities.
• Excellent verbal and written communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences.
• Bachelor’s degree in a quantitative field such as Engineering, Computer Science, Mathematics, Finance, or Business. Equivalent practical experience will also be considered.


This role is not eligible for Mastercard’s 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 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

San Francisco, California: $198,000 - $317,000 USD

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Average salary estimate

$247000 / YEARLY (est.)
min
max
$190000K
$304000K

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We believe in connecting everyone to Priceless possibilities. We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible.

198 jobs
MATCH
VIEW MATCH
BADGES
Badge Diversity ChampionBadge Future MakerBadge Global CitizenBadge Office VibesBadge Work&Life BalanceBadge Rapid Growth
CULTURE VALUES
Inclusive & Diverse
Empathetic
Collaboration over Competition
Growth & Learning
Transparent & Candid
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
June 6, 2025

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