Principal Data Platform Architect

Mastercard; Purchase (NY); On-site; USD 195,000 - 323,000; Full time

Benefits offered by this job

Insurance

401k

Generous paid time off

Parental leave

Job summary

Mastercard is seeking a Principal Software Engineer, Data Architecture to define and advance our enterprise data architecture strategy. You’ll set architectural vision for hybrid cloud and on‑prem data platforms, drive security, compliance, and scalability across global geographies.

You will mentor engineering teams and collaborate with executives to enable data-as-a-product capabilities and modern data technologies, ensuring operational excellence.

Qualifications

• Proven experience leading enterprise-scale data architecture and platform strategy.
• Deep expertise in distributed data systems at global scale.
• Experience modernizing data platforms with cloud-native architectures (AWS/Azure/GCP).

Responsibilities

• Serve as senior technical leader for enterprise data architecture with executive alignment.
• Translate business strategy into scalable, secure data architecture decisions.
• Define global data architecture strategy across hybrid cloud and on‑prem environments.
• Architect secure, compliant data solutions meeting global regulatory mandates.
• Lead modernization of legacy platforms to cloud-native architectures.
• Mentor global engineering teams and drive architectural best practices.

Skills

Executive leadership

Strategic thinking

Executive communication

Stakeholder influence

Education

Bachelor’s or Master’s in CS/Engineering/Data Science

Tools

Apache Spark

Kafka

Flink

NiFi

Databricks

Snowflake

Job description

Mastercard is seeking a Principal Software Engineer, Data Architecture to define and advance our enterprise data architecture strategy. You’ll set architectural vision for hybrid cloud and on‑prem data platforms, drive security, compliance, and scalability across global geographies.

You will mentor engineering teams and collaborate with executives to enable data-as-a-product capabilities and modern data technologies, ensuring operational excellence.