Cloud Data Tech Lead
Pubblicato il 12-08-2026 - Kering in Firenze
SummaryAbout KeringKering is a global, family-led luxury group, home to people whose passion and expertise nurture creative Houses across couture and ready-to-wear, leather goods, jewelry, eyewear and beauty: Gucci, Saint Laurent, Bottega Veneta, Balenciaga, McQueen, Brioni, Boucheron, Pomellato, Dodo, Qeelin, Ginori 1735, as well as Kering Eyewear and Kering Beauté.
Tutti i candidati sono invitati a leggere attentamente la seguente descrizione del lavoro e le relative informazioni prima di candidarsi.
Inspired by their creative heritage, Kering Houses design and craft exceptional products and experiences that reflect the Group's commitment to excellence, sustainability and culture.
This vision is expressed in our signature: Creativity is our Legacy.
In 2025, Kering employed 44,000 people and generated revenue of 14.7 billion.Job DescriptionYour opportunityAs DATA Tech Lead, you will play a key transversal role within the Analytics Engineering Chapter, acting as a facilitator, synchronization point,
and alignment driver across multiple data domains.You will work closely with Tech Leads, Product Owners, Architects, and other Chapter Leads to ensure smooth communication, coherent practices, and effective execution of transversal initiatives.
This role is not about direct technical ownership of a single product, but about enabling Tech Leads and squads to perform at their best, while ensuring alignment with the chapter vision and group strategy.How you will contributeCommunication & SynchronizationAct as a facilitator of communication between Tech Leads across multiple domains.Serve as a central synchronization point to ensure shared understanding of priorities, dependencies, and risks.Relay chapter strategy, vision, and key messages consistently across squads.Consistency & Best PracticesEnsure harmonization of engineering and analytics practices across domains.Promote chapter-wide standards related to code quality, data engineering best practices, observability,