Role Overview
We are seeking an experienced Data Architect to lead the design, governance, and evolution of enterprise data architecture with a strong focus on Product Master Data and metal and materials domains. This role plays a critical part in defining data standards, enabling scalable data solutions, and ensuring high data quality across complex systems landscapes.
You will work closely with business stakeholders, product owners, data engineers, and IT teams to translate business requirements into robust, future‑ready data architectures.
Key Responsibilities
- Design and drive enterprise-level data architecture, covering master data, transactional data, and analytical data models.
- Define and maintain data models, data domains, and canonical structures to ensure consistency and reusability across systems.
- Lead Product Master Data initiatives, with domain ownership in metal and materials data, ensuring alignment with business processes and regulatory requirements.
- Establish and enforce data governance frameworks, including data ownership, stewardship, standards, and policies.
- Define data standards, naming conventions, metadata models, and integration patterns to support system interoperability.
- Partner with integration, application, and platform teams to design scalable data integration architectures (APIs, messaging, batch, and event-driven).
- Lead and support data migration initiatives, including legacy system transformation, data mapping, validation, and reconciliation.
- Implement and oversee data quality frameworks, defining quality rules, KPIs, monitoring mechanisms, and remediation processes.
- Translate complex business needs into scalable, secure, and maintainable data solutions.
- Support stakeholders through architecture reviews, impact assessments, and roadmap planning.
- Provide architectural guidance, best practices, and design patterns to data engineers and delivery teams.
Required Qualifications & Experience
- 8+ years of experience in data architecture, data engineering, or data management roles.
- Strong hands-on experience with data modelling, including:
- Product Master Data
- Transactional and analytical data models
- Proven domain experience in Product Master Data, specifically within metal and materials or related manufacturing/supply-chain domains.
- Demonstrated expertise in data governance, including frameworks, operating models, and data stewardship practices.
- Experience defining enterprise data standards, reference data, master data structures, and integration patterns.
- Solid track record in data migration projects, including legacy system replacement or consolidation.
- Strong knowledge of data quality management, including profiling, validation rules, monitoring, and remediation.
- Excellent stakeholder management skills, with the ability to communicate architecture decisions to both technical and non-technical audiences.
- Proven ability to translate complex business requirements into scalable, future-proof data architectures.
- Experience working in complex, cross-functional, and multi-system environments.
Preferred / Nice-to-Have
- Experience in cloud-based data platforms and modern data ecosystems.
- Familiarity with data governance or data quality tools.
- Experience working in global or enterprise-scale environments.
- Exposure to regulatory, compliance, or sustainability data considerations.
