Senior Enterprise Data Architect

Job description

POSITION OVERVIEW

The Senior Enterprise Data Architect will play a critical role in advancing Ralph Lauren’s Enterprise Data & AI Architecture by defining, operationalizing, and actively implementing enterprise data architecture standards, reference patterns, and platform guardrails. This role combines strategic architecture leadership with hands-on execution, partnering directly with engineering and delivery teams to design scalable data solutions, accelerate adoption of enterprise patterns, and enable data-driven transformation across ERP+, analytics modernization, and AI initiatives.

The architect will act as a practitioner-leader, ensuring that enterprise architecture principles translate into working solutions, reusable assets, and measurable acceleration in delivery.

Qualifications

EXPERIENCE, SKILLS & KNOWLEDGE

• 8+ years of experience in Enterprise Data Architecture, Data Engineering, or Solution Architecture within modern data ecosystems.
• Strong hands-on expertise in: Data modeling (conceptual, logical, canonical, dimensional) Data engineering patterns (batch, streaming, event-driven)
• Experience building enterprise-scale data platforms and data products.
• Deep familiarity with modern data platforms such as: Databricks, Azure / Microsoft Fabric, Snowflake, SAP Datasphere/BDC

Proven experience implementing

• Metadata, lineage, data quality, governance frameworks
• Strong ability to work directly with engineering teams and influence delivery outcomes