[Hiring] Enterprise Data Architect @NEORIS

Role Description

We are looking for an Enterprise Data Architect to:

• Define and maintain the enterprise data architecture blueprint, including data models, standards, and governance frameworks.
• Align data architecture with business strategy by collaborating closely with business and IT stakeholders.
• Design and oversee scalable data solutions across transactional, analytical, and streaming environments.
• Establish standardized data integration and interoperability patterns across platforms.
• Lead data platform modernization initiatives, including cloud adoption and migration.
• Define and enforce data governance, data quality, metadata management, and MDM frameworks.
• Provide architectural guidance, reviews, and mentoring to architects, data engineers, and delivery teams.
• Partner with Security and Compliance teams to ensure data privacy and regulatory compliance.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• Proven experience in Enterprise Data Architecture or similar roles.
• Strong knowledge of data modeling, metadata management, and data lifecycle management.
• Hands-on experience with cloud-based data platforms (AWS preferred; Azure, Snowflake, Databricks).
• Solid experience with SQL and NoSQL data systems.
• Experience with data governance and catalog tools (e.g., Collibra, Informatica, Alation).
• Familiarity with enterprise architecture frameworks (TOGAF, Zachman).
• Strong communication, stakeholder management, and analytical skills.

Requirements

• Experience in regulated industries (Pharma, Finance, Healthcare) is nice to have.
• Knowledge of data standardization, master and reference data, data quality, semantic interoperability, and persistent identifiers is nice to have.
• Experience with tools such as Reltio, Semaphore, Metaphacts, Accurids, Experian Aperture is nice to have.
• Certifications in Enterprise Architecture, Cloud Platforms, or Data Management is nice to have.
• Understanding of AI/ML data requirements and data product design concepts is nice to have.

Benefits

• Permanent contract with a competitive salary.
• Flexible work model with remote work options.
• Personalized career plan and continuous learning (certifications, language training, etc.).
• Participation in stable, long-term projects with strong technical challenges.
• Flexible working hours and work-life balance focus.
• Social benefits tailored to your needs.