Description

Join Envalior - Imagine The Future!

Are you passionate about designing and maintaining the enterprise data architecture in a constantly evolving environment? At Envalior, we are seeking a talented Data Architect to join our dynamic Data Enablement and AI Team and drive enterprise-wide impact by ensuring the scalability and reliability of our systems, reporting, and AI initiatives.

At Envalior, the future of high-performance materials isn't just being shaped; it's being pioneered. A belief in fostering an environment where every voice is heard and ideas are valued is integral to our culture. Empowerment is the driving force behind our pioneering spirit, allowing our teams to take initiative, explore new solutions, and revel in the thrill of constant innovation.

Join us and be a part of a team committed to making a positive impact—where safety, sustainability, collaboration, and empowerment intersect to drive innovation.

IMAGINE THE FUTURE WITH ENVALIOR

As Data Architect at Envalior, you will design and maintain the enterprise data architecture, ensuring that domains, master data models, integration patterns, and metadata structures remain consistent and scalable. You will actively define and enforce standards for data modelling, golden source principles, APIs, lineage, and interoperability, ensuring a harmonized and high‑performing global data landscape. Additionally, you'll embrace a pioneering spirit, exploring new technologies to contribute to our values and mission.

You will make key contributions to Envalior:

• Ensuring global interoperability, consistency, and data lineage integrity across platforms.
• Governing architectural standards to reduce technical debt and long‑term risk.
• Reviewing new data and AI initiatives for architectural feasibility and compliance.
• Advising on future architecture evolution to support scalability, performance, and cost‑efficiency.

Requirements

THE IDEAL CANDIDATE

• Deep technical expertise including architecture frameworks, cloud platforms, API design, metadata management, and enterprise modelling.
• More than 10 years of relevant professional experience.
• Master’s degree in Computer Science, Information Architecture, Data Management, or Engineering.
• Strong stakeholder leadership and global communication skills.
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