Enterprise AI Data Platform Lead

Ralph Lauren Corporation; Nutley (NJ); On-site; USD 210,000 - 300,000; Full time

Job summary

Ralph Lauren seeks a senior data engineering leader to define and operationalize enterprise data architecture and platform strategy enabling scalable AI, analytics, and digital initiatives. You will partner with AI CoE, Enterprise Architecture, and Security to create trusted, reusable data assets and scalable data services.

You will lead data governance, platform modernization, and CI/CD for DataOps, ensuring data quality and readiness for AI use cases across the organization.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Data Engineering, Data Science, or related technical discipline.
• Significant experience in enterprise data engineering, cloud data platforms, distributed systems, and large-scale data architecture.
• Proven experience building and operationalizing enterprise data platforms supporting AI, analytics, and digital transformation initiatives.
• Deep expertise in Microsoft Azure data ecosystem including Azure Data Factory, Azure Synapse, Azure Storage, Event Hub, API integrations, and cloud-native engineering patterns.

Responsibilities

• Define and operationalize enterprise data architecture standards supporting AI and analytics.
• Establish scalable, cloud-native data platform strategies using Azure and Databricks.
• Drive evolution of data ecosystems to support AI-ready, real-time data services.
• Lead data product delivery with governance, quality, lineage, and interoperability.

Skills

Data architecture

Azure Data Factory

Azure Synapse

Databricks

Data governance

Leadership

Data pipelines

Security/compliance

Education

Bachelor's or Master's in Computer Science or related

Experience in enterprise data engineering

Tools

Azure Data Factory

Azure Synapse

Databricks

Lakehouse

Delta Lake

Job description

Ralph Lauren seeks a senior data engineering leader to define and operationalize enterprise data architecture and platform strategy enabling scalable AI, analytics, and digital initiatives. You will partner with AI CoE, Enterprise Architecture, and Security to create trusted, reusable data assets and scalable data services.

You will lead data governance, platform modernization, and CI/CD for DataOps, ensuring data quality and readiness for AI use cases across the organization.