Architect Enterprise Data Delivery

Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel, accessories, home, fragrances, and hospitality. For more than 50 years, Ralph Laurens reputation and distinctive image have been consistently developed across an expanding number of products, brands and international markets. The Companys brand names, which include Ralph Lauren, Ralph Lauren Collection, Ralph Lauren Purple Label, Polo Ralph Lauren, Double RL, Lauren Ralph Lauren, Polo Ralph Lauren Children, Chaps, among others, constitute one of the worlds most widely recognized families of consumer brands.

At Ralph Lauren, we unite and inspire the communities within our company as well as those in which we serve by amplifying voices and perspectives to create a culture of belonging, ensuring inclusion, and fairness for all. We foster a culture of inclusion through: Talent, Education & Communication, Employee Groups and Celebration.

,

We are seeking a versatile Solution Architect to lead the design and implementation of enterprise-scale data solutions spanning Data Engineering, Data Quality, and Solution Architecture. This role will be responsible for delivering robust, scalable, and secure data solutions that meet business objectives and align with enterprise architecture principles. The Solution Architect will work closely with the Lead Architect, platform teams, and business stakeholders to build integrated solutions across the data lifecycle.

,

Architecture & Solution Design

• Design end-to-end data solutions for ingestion, transformation, storage, and delivery across cloud and on-prem environments.
• Architect solutions using modern data platforms such as Databricks, Delta Lake, and Prophecy.
• Define scalable patterns for data pipelines, APIs, and data access.
• Ensure solution designs meet enterprise standards for security, compliance, and scalability.
  
  

• Integrate data quality frameworks and governance practices into solution architectures.
• Implement automated data validation and monitoring using tools like SODA Cloud.
• Establish metadata management, cataloging, and data lineage practices using platforms like Atlan.
  
  

• Design and oversee CI/CD pipelines and automated deployment frameworks.
• Collaborate with DevOps and platform teams to streamline release processes and ensure stability.
• Drive operational excellence through monitoring, observability, and automated recovery processes.
  
  

• Work closely with data engineers, data stewards, analysts, and application teams to align technical solutions with business needs.
• Partner with the Enterprise Architect and fellow Solution Architects to maintain architectural consistency across platforms.
• Mentor junior engineers and promote best practices in data engineering and governance.
  
  

• Bachelor’s degree in computer science, Data Engineering, or related field.
• 10+ years of experience in data engineering, architecture, or governance roles, with at least 2+ years as a solution architect.
  
  

• Proficiency in Spark, SQL, Python, and/or Scala.
• Strong experience with Databricks, Delta Lake, and data orchestration frameworks.
• Hands-on expertise with data quality tools (SODA Cloud) and metadata/catalog platforms (Atlan).
• Familiarity with CI/CD tools and cloud platforms (AWS, Azure, GCP).
  
  

• Certifications in cloud platforms or data architecture.
• Experience in agile environments and DevOps practices.
• Knowledge of data privacy and compliance frameworks (GDPR, CCPA).
  
  

• Strong problem-solving and analytical skills.
• Excellent communication and stakeholder engagement abilities.
• Ability to work independently and collaboratively in a fast-paced environment.