Ralph Lauren
ralphlauren.com
Actively hiring
Luxury Goods & Designer Brands
Apparel & Fashion Brands
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News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Overview
Ralph Lauren is a global fashion and lifestyle company that designs, markets and distributes premium products in apparel, accessories, home, fragrances and hospitality. The group is listed on the New York Stock Exchange. A technology team in Bengaluru hires data engineers, data scientists, Power BI analysts and application developers, while the company is headquartered in New York, United States.
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Tech stack
Technologies named in job postings at Ralph Lauren over the last 12 months, by layer, with the share of postings for each.
Technologies in use
30
Postings analysed
4
Stack modernity
77/100AI adopter
Languages
SQL
Python
Frameworks & libraries
DSPy
Hadoop
Keras
LangChain
Databases
Delta Lake
GraphDB
Cloud & platforms
Azure
Databricks
Power BI
Spark
AI & ML
LLM
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Full Ralph Lauren tech stack
30 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
56/100
Growing
Open positions
5
5 opened / 0 closed in 30 days
ATS activity
Every ~18 hours
10/03/2026
Hiring Dynamics
0%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Data Science
40% ▲
Analytics
40% ▲
Product
20% ▲
Activity Timeline
+5 jobs in a week
Sep 2026
Added Delta Lake to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
1
Countries
2
Busiest office
Bengaluru
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Headquarters
Builds here
Office with open vacancies
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New York
United States
HQ
Bengaluru
India
Engineering / R&D
5 open roles 5 posted in 90 days 80% engineering
hires for Data Science, Analytics, Product
Jobs
≈ $23k – $47k per year (Estimated) • In office • 6+ years exp • Bengaluru
Python
SQL
GraphDB
AI/ML
LangChain
Hadoop
Spark
DSPy
Fine-tuning
Multimodal AI
NLP
TensorFlow
Keras
PyTorch
LLM
RAG
Time Series Forecasting
Human-in-the-Loop
Recommender Systems
Interpretability
Machine Learning
DevOps
GCP
Azure
CI/CD
AWS
Docker
Kubernetes
Apply
≈ $18k – $35k per year (Estimated) • In office • 4+ years exp • Bengaluru
SQL
Databricks
DevOps
Azure
Analytics
Power BI
Apply
≈ $26k – $53k per year (Estimated) • In office • 7+ years exp • Bengaluru
Agile
Scrum
Apply
≈ $11k – $22k per year (Estimated) • In office • 2+ years exp • Bengaluru
Master Data Management
Management
Agile
Apply
≈ $22k – $45k per year (Estimated) • In office • 5+ years exp • Bengaluru
Python
SQL
Databricks
Delta Lake
AI/ML
Spark
DevOps
Azure
CI/CD
Analytics
Power BI
Apply