Data Architect

Job Description

Role: Principal Data Architect

Location: Purchase, NY (Hybrid)

Duration: Contract

Experience : 15+

The successful candidate will establish the architectural vision for modernizing data platforms across hybrid cloud and on-premises environments, supporting both high-volume batch processing and low-latency, real-time workloads.

This position combines deep hands-on technical expertise with enterprise influence, driving architectural decisions that maximize the value of Client 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.

• Define and evolve Mastercard's global data architecture strategy across hybrid cloud and on-premises environments.

• Architect secure, resilient solutions that meet global regulatory and compliance mandates, including GDPR, ISO 20022, and regional data localization requirements.

• Champion Data Mesh principles, enabling data-as-a-product capabilities, federated ownership, governance, and self-service access.

• Establish and drive enterprise architecture standards, design patterns, and engineering best practices through the Data & Analytics Architecture Review Board.

• Lead the modernization of legacy data platforms to cloud native architectures across AWS, Azure, and GCP.

• Drive adoption of modern data technologies, including Databricks, Snowflake, Delta Lake, and streaming platforms.

• Enable both real time and batch analytics use cases to support high availability, mission critical workloads.

• 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, 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.

• Bachelor’s or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience.