Global Director, Data Platforms & Analytics Engineering

Mastercard; Virginia (MN); Hybrid; USD 195,000 - 323,000; Full time

Benefits offered by this job

Insurance (medical, dental, vision) to

401k with company match

Tuition reimbursement

Job summary

Mastercard seeks a Director of Software Engineering to lead the data platforms, analytics capabilities, and customer-facing solutions within the BEO program. You will manage a global, 25-engineer organization, driving ingestion, data pipelines, and analytics while partnering with product, data science, and business stakeholders.

The role emphasizes cloud-native platforms, AI-enabled workflows, and modernization across a fast-changing tech landscape with a hybrid onsite requirement in Arlington,

Qualifications

• Proven experience leading engineering teams in agile, production-scale environments.
• Experience defining architecture, design, and delivery of large multi-team systems.
• Strong track record partnering with product, data science, and analytics teams.

Responsibilities

• Lead ingestions, transformations, and management of large-scale data assets powering analytics.
• Build modern data platforms, APIs, and apps for experimentation and insights.
• Scale cloud data architectures and AI-enabled workflows to improve speed and outcomes.
• Mentor engineers and engineering managers across global teams.
• Drive technical alignment and mitigate risks with senior stakeholders.
• Foster innovation, continuous learning, and high engineering standards.
• Promote agile practices and adapt to changing priorities.

Skills

Databricks

AWS

.NET/C#

Java

Spring Boot

React

Python

Spark

Cloud architectures

Education

Bachelor’s degree or equivalent

Tools

EMR

Bedrock

Agentic/ML Services

Job description

Mastercard seeks a Director of Software Engineering to lead the data platforms, analytics capabilities, and customer-facing solutions within the BEO program. You will manage a global, 25-engineer organization, driving ingestion, data pipelines, and analytics while partnering with product, data science, and business stakeholders.

The role emphasizes cloud-native platforms, AI-enabled workflows, and modernization across a fast-changing tech landscape with a hybrid onsite requirement in Arlington,