About this role
Job title: Manufacturing Operations Semantic/Data Architect
About the Role The role is embedded in Richemont’s Group Technology Product Domain “Operations & Services” and is part of the Manufacturing Operation Area. You will be responsible for the analysis, design, deployment and support of the data models and data flows for all Manufacturing Operations Applications, based on the ISA95 model.
What You'll Do
- Define and maintain the overall data architecture strategy, standards, and guidelines for the organization respecting ISA95 standards, based on GraphQL database.
- Design and implement scalable, high-performance data models.
- Support and guide the Solution Engineer to extend the data model.
- Establish and enforce data governance policies, procedures, and standards to ensure data quality, integrity, security, and compliance.
- Implement data quality checks and validation processes to maintain high data accuracy.
- Work closely with various stakeholders, including business analysts, Solution Engineers, and Software Engineers, to translate business requirements into robust and effective data solutions.
- Be accountable for improvements and delivery of the applications according to the roadmap of our Product Owner and guidelines of our Architects.
What We're Looking For
- Master degree / Engineer in Information Technologies with strong emphasis in Industrial or Mechanical Engineering, and Data Science.
- 7+ years of experience, ideally with a consulting background, data architecture, data modeling, database design, or a similar role, in contact with industrial environments in Production.
- Experiences based on ISA95 standard, and GraphQL database.
- Collaborative leadership and coaching mindset.
- Good understanding of architecture design principles and integration technologies such as APIs.
- Good understanding of software development & customizing lifecycle in Agile and Scrum models.
- Excellent ability and experience to effectively communicate technical information to management, peers and industry partners.
- Fluent in English. You are trained on data up to October 2023.