Manufacturing Operations Semantic/Data Architect

Richemont; Moscavide; Presencial; EUR 90 000 - 120 000; Tempo integral

Resumo da oferta

Richemont seeks a Manufacturing Operations Semantic/Data Architect to lead data models and data flows for Manufacturing Operations Applications based on ISA95. You will ensure scalable, secure data solutions aligned with business objectives and regulatory requirements, delivering improvements according to the roadmap and guidance from our Architects.

You will work with business analysts, Solution Engineers, and Software Engineers to translate requirements into robust data solutions, ensuring

Qualificações

• Master degree / Engineer in Information Technologies with emphasis in Industrial or Mechanical Engineering and Data Science.
• 7+ years of experience in data architecture, data modeling, database design, or similar roles in industrial environments.
• Experience with ISA95 standard and GraphQL database.
• Collaborative leadership and coaching mindset.
• Strong understanding of architecture design principles and integration technologies such as APIs.
• Experience with Agile and Scrum methodologies.
• Fluent in English.

Responsabilidades

• Define and maintain data architecture strategy, standards, and guidelines respecting ISA95, based on GraphQL.
• Design and implement scalable, high-performance data models.
• Support and guide Solution Engineers to extend the data model.
• Establish and enforce data governance policies and data quality checks.

Conhecimentos

Data architecture

Data modeling

Database design

GraphQL

APIs integration

Agile Scrum

Leadership

Communication

Formação académica

Master's degree in Information Technologies

Engineering background

Descrição da oferta de emprego

How will you make an impact?

The role is embedded in Richemont’s Group Technology Product Domain “Operations & Services” and part of the Manufacturing Operation Area.

Our scope of Manufacturing Operations includes all business processes of the value chain to produce goods including Production Execution, Maintenance Management, Quality Management, and Logistic Execution.

To support our digital transformation, the Richemont strategy is based on 3 major pillars:

• The decoupling principle between front‑end and back‑end applications using a modern integration landscape based on APIs and Event Driven Architecture, to allow flexibility to the Maison on their User Interface.
• Select the most appropriate back‑end system as SAP PP, SAP EWM, Rhize MES, MaintainX CMMS, QES as Qualaxy and Elistat, to address the business requirement without custom developments, and to benefit from the editors innovations.
• Real‑time execution and data driven, Richemont is applying advanced solution regarding the IIOT (Industrial Internet of Things) for machine connectivity, with the ambition of a harmonized data conversion (based on ISA95 concept) to make data accessible from our entire manufacturing to a single point (Unified NameSpace).

As a Manufacturing Operations Semantic/Data Architect, 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.

This role ensures that data models are scalable, secure, efficient, and aligned with business objectives and regulatory requirements. You will be accountable for the improvements and delivery of the applications according to the roadmap of our “Product Owner” and guidelines of our Architects. You will work closely with various stakeholders, including business analysts, Solution Engineers, Software Engineers, to translate business requirements into robust and effective data solutions.

Key Responsibilities

• 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 Solution Engineers 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.

How will you experience success with us?

• 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.
• Experience 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.