Mastercard

1 day ago

Director, Software Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead Mastercard’s Business Experimentation & Optimization (BEO) data and analytics platform by designing, delivering, and evolving an end-to-end ecosystem for data ingestion, engineering pipelines, custom analytics, and customer insights. Drive modernization to cloud-native architectures and AI-enabled workflows, manage a global engineering organization, and partner with Product, Data Science, and Analytics to translate business needs into scalable solutions that improve experimentation and insight delivery.

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Director level

Key Responsibilities

•Lead engineering teams responsible for ingesting, transforming, and managing large-scale data assets that power analytics and customer insights.
•Build and scale modern data platforms, APIs, and applications for experimentation, measurement, reporting, and advanced analytics use cases.
•Partner with Product, Data Science, and Analytics to translate business needs into scalable technical solutions.
•Drive modernization using cloud technologies, AI-enabled workflows, and automation to improve speed, quality, and customer outcomes.
•Manage and develop a global engineering organization, set engineering excellence standards, and mitigate technical risks across cross-functional dependencies.

Pay and Benefits

Salary: USD 195,000 - 323,000 annually

Perks:Health InsuranceDentalVisionDisabilityLife Insurance401kPaid LeaveGym Membership

Key Requirements

•Proven experience as an engineering leader in an agile, production-scale environment.
•Experience leading multiple engineering teams and developing engineering leaders in a global, distributed setup.
•Strong track record defining architecture, design, and delivery of large-scale, multi-team systems.
•Hands-on familiarity with full-stack, data, and cloud technologies including Databricks, AWS (EMR, Agent Core, Bedrock), .NET/C#, Java, Spring Boot, React, Python, and Spark (or similar).
•Strong understanding of SDLC methodologies (Scrum, Kanban, SAFe) and the ability to influence executive, business, and technical stakeholders.

Experience:Data platformsData engineeringCloudAnalyticsAI-enabled workflows

Education:Bachelor's

Skills:Technical leadershipStakeholder managementCommunicationMentoringAnalytical thinking

Tech Stack:DatabricksAWSEMRAgent CoreBedrock.NETC#JavaSpring BootReactPythonSparkAPIs

Company Brief

Mastercard

Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Mastercard

1 day ago

Director, Software Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Director level

Key Responsibilities

•Lead engineering teams responsible for ingesting, transforming, and managing large-scale data assets that power analytics and customer insights.
•Build and scale modern data platforms, APIs, and applications for experimentation, measurement, reporting, and advanced analytics use cases.
•Partner with Product, Data Science, and Analytics to translate business needs into scalable technical solutions.
•Drive modernization using cloud technologies, AI-enabled workflows, and automation to improve speed, quality, and customer outcomes.
•Manage and develop a global engineering organization, set engineering excellence standards, and mitigate technical risks across cross-functional dependencies.

Pay and Benefits

Salary: USD 195,000 - 323,000 annually

Perks:Health InsuranceDentalVisionDisabilityLife Insurance401kPaid LeaveGym Membership

Key Requirements

•Proven experience as an engineering leader in an agile, production-scale environment.
•Experience leading multiple engineering teams and developing engineering leaders in a global, distributed setup.
•Strong track record defining architecture, design, and delivery of large-scale, multi-team systems.
•Hands-on familiarity with full-stack, data, and cloud technologies including Databricks, AWS (EMR, Agent Core, Bedrock), .NET/C#, Java, Spring Boot, React, Python, and Spark (or similar).
•Strong understanding of SDLC methodologies (Scrum, Kanban, SAFe) and the ability to influence executive, business, and technical stakeholders.

Experience:Data platformsData engineeringCloudAnalyticsAI-enabled workflows

Education:Bachelor's

Skills:Technical leadershipStakeholder managementCommunicationMentoringAnalytical thinking

Tech Stack:DatabricksAWSEMRAgent CoreBedrock.NETC#JavaSpring BootReactPythonSparkAPIs

Company Brief

Mastercard

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor