Richemont Manufacturing Operations Data Architect
- Employment
- Full-Time
- Seniority
- Senior
- Industry
- Fashion, Apparel & Leather Goods
- Posted
- Jul 7, 2026
About Richemont
Richemont is one of the world’s foremost luxury groups, stewarding a distinguished portfolio of maisons across jewellery, watchmaking, fashion and accessories, including Cartier, Van Cleef & Arpels, Jaeger-LeCoultre and Montblanc. As an employer, it combines the heritage of artisanal excellence with a forward-looking culture shaped by innovation, client-centricity and responsible business. Its global teams operate in an environment that values craftsmanship, entrepreneurship and collaboration, offering opportunities to grow within iconic maisons and group functions alike. Richemont attracts professionals who aspire to contribute to enduring luxury, preserving rare savoir-faire while helping define the future of high craftsmanship.
Richemont Manufacturing Operations Data Architect in Moscavide, Portugal – design scalable data infrastructure for production systems and operational analytics.
Role & Responsibilities
- Design and implement enterprise data architecture for manufacturing operations, including data models, schemas, and semantic layers
- Develop data pipelines and ETL processes to integrate disparate production systems, quality control systems, and supply chain data
- Create and maintain data governance frameworks specific to manufacturing environments
- Collaborate with operations teams to identify data requirements and translate business needs into technical solutions
- Establish best practices for data quality, metadata management, and data catalog maintenance
- Support real-time and batch analytics platforms serving manufacturing stakeholders
Qualifications
- Proven experience designing data architectures in manufacturing or industrial environments
- Strong proficiency in data modeling, semantic frameworks, and dimensional modeling techniques
- Experience with ETL/ELT tools and data integration platforms
- Familiarity with manufacturing systems (ERP, MES, Quality Management Systems) and their data structures
- Knowledge of cloud data platforms and distributed data processing
Skills
Experience
5–10 years of experience in data architecture, data engineering, or analytics engineering roles, with at least 3 years in a manufacturing, production, or operations-focused environment.
Education
Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent professional experience.
Workplace
This position is based in Moscavide, Setúbal, Portugal, within easy reach of Lisbon.
Culture
Richemont fosters a refined, international workplace where its Maisons preserve exceptional craftsmanship while benefiting from the strength and perspective of a global luxury group. As an employer, it values long-term stewardship, collaboration, innovation, and the development of talent within an environment shaped by heritage, creativity, and high standards.
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 Richemont, 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 «Operations Data Engineer», «Manufacturing Data Systems Architect», «Production Data Infrastructure Specialist», «Operations Analytics Architect», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.