Tapestry Data Engineer
About Tapestry
Tapestry is an American house of modern luxury that houses global lifestyle brands including Coach, Kate Spade and Stuart Weitzman. As a parent company, Tapestry combines heritage craftsmanship with a strategic focus on digital transformation, omnichannel retail and global brand management.
Tapestry — Data Engineer in New York, NY. Build scalable data pipelines and platforms for Coach, Kate Spade and Stuart Weitzman.
Role & Responsibilities
- Design, build and operate robust, scalable ETL/ELT pipelines to support analytics, BI and machine-learning use cases.
- Develop and maintain data models, schemas and documentation to ensure a single source of truth for product, commerce and customer datasets.
- Implement data ingestion and streaming solutions for batch and near‑real‑time sources, ensuring data quality and lineage.
- Collaborate with data scientists, analysts, product and engineering teams to translate business requirements into technical solutions.
- Optimize performance and cost of data processing workloads in cloud environments; monitor, profile and tune pipelines.
- Establish testing, observability and alerting (data validation, SLA tracking, pipeline health) for production data systems.
- Enforce data governance, security and privacy best practices when handling PII and regulated data.
- Mentor junior engineers and contribute to engineering standards, code reviews and platform roadmaps.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics or a related discipline; Master’s preferred or equivalent professional experience.
- 3+ years of experience building production data pipelines and data platforms; retail, e‑commerce or consumer brands experience is advantageous.
- Proven experience with cloud data platforms and services, and delivering end‑to‑end data solutions.
- Strong SQL expertise and experience with distributed data processing frameworks.
- Demonstrated ability to collaborate across analytics, product and engineering stakeholders and translate business needs into technical deliverables.
- Familiarity with data governance, security controls and privacy regulations relevant to customer data.
Skills
Experience
Minimum three years of hands‑on experience designing and operating production data pipelines and cloud data platforms; prior work in retail or consumer-facing analytics environments preferred.
Education
Bachelor’s degree in Computer Science, Engineering, Mathematics or closely related field; advanced degree preferred.
Workplace
This position is based in New York, New York, USA.
Culture
Tapestry fosters a creative, design‑led environment that balances heritage craftsmanship with modern digital capabilities. The company emphasizes collaboration across brands, inclusion and continuous innovation in retail and technology.
About Cerulean
Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.
Frequently Asked Questions
The luxury industry is characterised by a diverse and nuanced nomenclature. Esteemed houses frequently employ proprietary terminology, and even within a single organisation like Tapestry, titles may vary across global markets to reflect local conventions. To ensure absolute clarity, Cerulean assigns a standardised, industry-coherent canonical title to every listing. However, it is worth noting that this role is functionally synonymous with «Data Platform Engineer», «ETL Engineer», «Analytics Engineer», «Big Data Engineer», «Data Infrastructure Engineer», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.