Head of Data Engineering
Pubblicato il 03-10-2026 - Vishay Intertechnology in Torino
We are seeking great talent to help us build The DNA of tech.® Vishay manufactures one of the world's largest portfolios of discrete semiconductors and passive electronic components that are essential to innovative designs in the automotive, industrial, computing, consumer, telecommunications, military, aerospace, and medical markets. We help the world's most in-demand technologies come to life. Every day our products touch your life and the lives of people across the world, though you likely do not know it. Come join us and help us build The DNA of tech.™
Vishay Intertechnology, Inc. is a Fortune 1,000 Company listed on the NYSE (VSH). Learn more at www.Vishay.com. Vishay Italy is currently seeking applicants for Head of Data Engineering & Analytics. In this position, you will be accountable for defining, governing, and evolving the enterprise‑wide data architecture across a complex, SAP‑centric application landscape. The role ensures that master, transactional, and analytical data are consistently defined, governed, integrated, and consumed across core platforms including SAP (ERP,
BW, GTS, Concur), Salesforce CRM, MES systems, Quoting and Pricing platforms, Finance, Treasury, Trade Compliance, and Analytics. The role operates as the enterprise design authority for data, leads the data governance and MDM operating model, and manages a small team of data engineers to translate architectural decisions into sustainable execution.
Job Location: Vishay Semiconductor Italiana spa is site focused on the design, development and production of power diodes and power modules. There are around 300 employees currently work in Borgaro Torinese Italy. This number is constantly growing due to our expansion plans.
What You Will Be Doing
Define, maintain, and evolve the Enterprise Data Architecture blueprint, including:
- Core enterprise data domains (Customer, Product/Material, Vendor, Pricing, Finance, Trade Compliance)
- Conceptual and logical enterprise data models
- Canonical