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Principal Software Engineer, Data Architecture

Arlington, Virginia, United States of America

Live, first seen by us 63 days ago
Pay
USD 195,000–323,000/yearAnnual period assumed — pay source
Pay Ranges Arlington, Virginia: $195,000 - $323,000 USD
Read the full posting
Work setting
Not stated
Employment
Not stated

Before you apply

Work authorization
Must already have the right to workThis role is not eligible for Mastercard’s work authorization sponsorship

What you’ll work on

Full posting
  • Drive architecture for enterprise data onboarding, exchange, discovery and consumption

  • Build multi-year roadmaps balancing near-term needs with platform scalability and reuse

  • Set enterprise architecture standards and design patterns via the Architecture Review Board

  • Drive adoption of Databricks, Snowflake, Delta Lake and streaming platforms

  • Advise executives on translating business strategy into data architecture decisions

From the employer’s posting
Drive the technical vision and architecture for enterprise data onboarding, exchange, discovery, and consumption capabilities.
Develop roadmaps that balance immediate business needs with long-term platform scalability and reuse.
Establish and drive enterprise architecture standards, design patterns, and engineering best practices through the Data & Analytics Architecture Review Board.
Drive adoption of modern data technologies, including Databricks, Snowflake, Delta Lake, and streaming platforms.
Act as a trusted advisor to executive stakeholders, translating business strategy into scalable, secure, and resilient data architecture decisions.
Apply at Mastercard

Posting record

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Status in our records
Live
First seen by us
Sep 11, 202663 days ago
Recorded sightings
152
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Higher than most similar jobs

$195K–$323K against $127K–$190K, the middle half of what similar US postings state.

From 2,239 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 63

Up longer than most. Similar jobs usually come down between day 6 and day 56.

Well past Mastercard’s usual: its jobs come down by about day 25.

From 13,580 similar postings that came down, and 268 of Mastercard’s. Coming down is not always a hire.

Mastercard is hiring

72 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is steady
  • Takes jobs down quickly
  • 8% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Databricks
  • Delta Lake
  • Hadoop
  • Kafka
  • Snowflake
  • Spark
Where the posting names them
This position combines deep hands-on technical expertise with enterprise influence, driving architectural decisions that maximize the value of Mastercard's data assets while meeting the highest standards for security, resiliency, compliance, and operational excellence. Role: • Serve as the senior technical leader for enterprise data architecture, partnering closely with the VP and senior technology leadership. • Act as a trusted advisor to executive stakeholders, translating business strategy into scalable, secure, and resilient data architecture decisions. • Drive the technical vision and architecture for enterprise data onboarding, exchange, discovery, and consumption capabilities. • Develop roadmaps that balance immediate business needs with long-term platform scalability and reuse. • Establish and drive enterprise architecture standards, design patterns, and engineering best practices through the Data & Analytics Architecture Review Board. • Drive adoption of modern data technologies, including Databricks, Snowflake, Delta Lake, and streaming platforms. • Evaluate and incorporate emerging technologies, including AI-enabled data platforms and agent-based architectures. • Mentor and influence global engineering teams, fostering a culture of technical excellence, accountability, and thoughtful risk taking. All About You: • Proven experience as a Principal Engineer, Lead Architect, Lead Engineer, or equivalent technical leadership role driving enterprise-scale data architecture and platform strategy. • Extensive experience architecting and building large-scale data platforms, distributed systems, and enterprise integration solutions across both on-premises and cloud environments, leveraging technologies such as Spark, Kafka, Flink, NiFi, Hadoop/Cloudera, Databricks, and modern cloud-native data services. • Experience integrating AI driven capabilities into data platforms, with appropriate governance and guardrails for emerging use cases, including agentic commerce. • Experience building reusable platforms that serve multiple products, teams, or business domains. • Strong understanding of data governance, security, and regulatory compliance in highly regulated, global environments. • Proven ability to lead and influence architectural initiatives within Agile, SAFe, or product centric delivery models, partnering effectively with product, engineering, and business stakeholders. • Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders. • Strong executive presence with the ability to translate complex architecture concepts into business language. • Exceptional communication skills, with the ability to articulate complex technical concepts to executive and non-technical audiences. • Strong Decency Quotient (DQ) with a track record of building inclusive, collaborative, high performing teams. • Bachelor’s or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience.
Role: • Serve as the senior technical leader for enterprise data architecture, partnering closely with the VP and senior technology leadership. • Act as a trusted advisor to executive stakeholders, translating business strategy into scalable, secure, and resilient data architecture decisions. • Drive the technical vision and architecture for enterprise data onboarding, exchange, discovery, and consumption capabilities. • Develop roadmaps that balance immediate business needs with long-term platform scalability and reuse. • Establish and drive enterprise architecture standards, design patterns, and engineering best practices through the Data & Analytics Architecture Review Board. • Drive adoption of modern data technologies, including Databricks, Snowflake, Delta Lake, and streaming platforms. • Evaluate and incorporate emerging technologies, including AI-enabled data platforms and agent-based architectures. • Mentor and influence global engineering teams, fostering a culture of technical excellence, accountability, and thoughtful risk taking. All About You: • Proven experience as a Principal Engineer, Lead Architect, Lead Engineer, or equivalent technical leadership role driving enterprise-scale data architecture and platform strategy. • Extensive experience architecting and building large-scale data platforms, distributed systems, and enterprise integration solutions across both on-premises and cloud environments, leveraging technologies such as Spark, Kafka, Flink, NiFi, Hadoop/Cloudera, Databricks, and modern cloud-native data services. • Experience integrating AI driven capabilities into data platforms, with appropriate governance and guardrails for emerging use cases, including agentic commerce. • Experience building reusable platforms that serve multiple products, teams, or business domains. • Strong understanding of data governance, security, and regulatory compliance in highly regulated, global environments. • Proven ability to lead and influence architectural initiatives within Agile, SAFe, or product centric delivery models, partnering effectively with product, engineering, and business stakeholders. • Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders. • Strong executive presence with the ability to translate complex architecture concepts into business language. • Exceptional communication skills, with the ability to articulate complex technical concepts to executive and non-technical audiences. • Strong Decency Quotient (DQ) with a track record of building inclusive, collaborative, high performing teams. • Bachelor’s or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience. 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.

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Has Mastercard posted this job before?

Yes. We’ve followed 2 other Principal Software Engineer, Data Architecture jobs there since April 2026. One came down after 121 days. One is still up.

  1. PurchaseCame down after 121 days, first seen Apr 16
  2. PurchaseStill up after 84 days, first seen Aug 21
  3. This jobUp 64 days so far, first seen Sep 11

About Mastercard

People
About 39,800 in 2025, up 13% from the year before.Annual report (SEC Form 10-K)
Company
Listed as MA.
H-1B visas
36 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 860, the most 1,354, and the latest week had 1,335.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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

Principal Software Engineer, Data Architecture

Overview:
Mastercard's Data & Analytics organization is seeking a visionary Principal Software Engineer, Data Architecture to define and advance our global enterprise data architecture strategy. Reporting to the Vice President of Data Engineering, this role will lead the design and evolution of strategic platforms that simplify how external data is securely exchanged with Mastercard and enable product teams, consultants, and analysts to more easily discover, access, and leverage enterprise data.

The successful candidate will establish the architectural vision for platforms that transform complex, fragmented data processes into scalable, self-service experiences that accelerate innovation and unlock greater value from Mastercard's data assets.

This position combines deep hands-on technical expertise with enterprise influence, driving architectural decisions that maximize the value of Mastercard's data assets while meeting the highest standards for security, resiliency, compliance, and operational excellence.

Role:
• Serve as the senior technical leader for enterprise data architecture, partnering closely with the VP and senior technology leadership.
• Act as a trusted advisor to executive stakeholders, translating business strategy into scalable, secure, and resilient data architecture decisions.
• Drive the technical vision and architecture for enterprise data onboarding, exchange, discovery, and consumption capabilities.
• Develop roadmaps that balance immediate business needs with long-term platform scalability and reuse.
• Establish and drive enterprise architecture standards, design patterns, and engineering best practices through the Data & Analytics Architecture Review Board.
• Drive adoption of modern data technologies, including Databricks, Snowflake, Delta Lake, and streaming platforms.
• Evaluate and incorporate emerging technologies, including AI-enabled data platforms and agent-based architectures.
• Mentor and influence global engineering teams, fostering a culture of technical excellence, accountability, and thoughtful risk taking.

All About You:
• Proven experience as a Principal Engineer, Lead Architect, Lead Engineer, or equivalent technical leadership role driving enterprise-scale data architecture and platform strategy.
• Extensive experience architecting and building large-scale data platforms, distributed systems, and enterprise integration solutions across both on-premises and cloud environments, leveraging technologies such as Spark, Kafka, Flink, NiFi, Hadoop/Cloudera, Databricks, and modern cloud-native data services.
• Experience integrating AI driven capabilities into data platforms, with appropriate governance and guardrails for emerging use cases, including agentic commerce.
• Experience building reusable platforms that serve multiple products, teams, or business domains.
• Strong understanding of data governance, security, and regulatory compliance in highly regulated, global environments.
• Proven ability to lead and influence architectural initiatives within Agile, SAFe, or product centric delivery models, partnering effectively with product, engineering, and business stakeholders.
• Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders.
• Strong executive presence with the ability to translate complex architecture concepts into business language.
• Exceptional communication skills, with the ability to articulate complex technical concepts to executive and non-technical audiences.
• Strong Decency Quotient (DQ) with a track record of building inclusive, collaborative, high performing teams.
• Bachelor’s or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience.

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.

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 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.

THIS POSTING RELECTS ONE OR MORE CURRENT VACANCIES ON OUR TEAM, AND MASTERCARD INTENDS TO FILL THIS POSITION BY 12/08/2026. If the fill date has passed, Mastercard intends to fill this position as soon as possible.

Pay Ranges

Arlington, Virginia: $195,000 - $323,000 USD

Source details

View original posting ↗

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Pay
Pay Ranges Arlington, Virginia: $195,000 - $323,000 USD
Location & working pattern

Arlington, Virginia, United States of America

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Work authorization

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