Senior Data Architect

Arkhya Tech Inc.; Purchase (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Mastercard is seeking a Principal Enterprise Data Architect to lead the modernization of global data platforms and define cloud strategy. This role requires senior-level insight, enterprise-scale thinking, and the ability to influence executive stakeholders across the organization.

The candidate will combine data governance, security, and architectural leadership to drive platform modernization while collaborating with product, engineering, and business teams.

Qualifications

• 15+ years of experience in enterprise data architecture.
• Proven experience with cloud-native data platforms.
• Experience influencing VP/C-suite stakeholders.

Responsibilities

• Lead data architecture strategy for global data platforms.
• Drive cloud modernization across AWS, Azure, and GCP.
• Collaborate with product, engineering, and business stakeholders.

Skills

Enterprise data architecture

Cloud modernization

Executive stakeholder engagement

Strong communication

Leadership

Tools

Apache Spark

Kafka

Flink

NiFi

Databricks

Snowflake

Job description

Principal Enterprise Data Architect / Principal Data Platform Architect role for Mastercard. The client needs a senior-level architect with 15+ years of experience who can modernize global data platforms, lead cloud and data architecture strategy, and influence VP/C-suite stakeholders.

This is not just a hands-on Data Engineer role. The candidate must combine enterprise architecture, distributed data systems, cloud modernization, security/compliance, and executive-level leadership.

Proven experience as a Principal Engineer, Lead Architect, or equivalent technical leadership role driving enterprise-scale data architecture and platform strategy.

• Deep expertise designing, building, and operating distributed data systems at global scale.
• Strong hands-on experience with technologies such as Apache Spark, Kafka, Flink, NiFi, Databricks, Snowflake, and modern cloud-native data platforms.
• Demonstrated success modernizing data platforms using cloud native architectures across AWS, Azure, and/or GCP.
• Experience integrating AI driven capabilities into data platforms, with appropriate governance and guardrails for emerging use cases, including agentic commerce.
• 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.