Enterprise Data Architect & Governance Lead

Canadian Natural Resources Limited; Calgary; On-site; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Relocation support

Health, Dental & Vision benefits

Annual bonuses

Learning & development access

Volunteer opportunities

Employee Assistance Program

Job summary

Canadian Natural Resources Limited is seeking an Enterprise Data Analyst to advance data governance, modeling, and metadata management across the organization. You will develop conceptual, logical, and physical models, define standards, and ensure data is trusted and consumable for analytical and AI-enabled solutions.

Ideal candidates bring 6+ years in enterprise data management, strong SQL, and stakeholder engagement skills, with knowledge of DAMA-DMBOK principles.

Qualifications

• 6+ years of experience in enterprise data management, governance, modeling, or information architecture.
• Strong knowledge of DAMA-DMBOK principles and data standards.
• Expertise in conceptual, logical, and physical data modeling and metadata management.

Responsibilities

• Apply DAMA-DMBOK practices across data governance, metadata and quality management.
• Design and maintain enterprise data models and information architectures.
• Develop business glossaries, data dictionaries, and lineage documentation.
• Collaborate with stakeholders to translate requirements into data solutions.
• Drive data integrity, stewardship, and governance decisions.

Skills

SQL

Analytical thinking

Stakeholder engagement

Data governance

Education

Degree in Computer Science, Engineering, Information Management, or related discipline

CDMP designation preferred

Job description

Canadian Natural Resources Limited is seeking an Enterprise Data Analyst to advance data governance, modeling, and metadata management across the organization. You will develop conceptual, logical, and physical models, define standards, and ensure data is trusted and consumable for analytical and AI-enabled solutions.

Ideal candidates bring 6+ years in enterprise data management, strong SQL, and stakeholder engagement skills, with knowledge of DAMA-DMBOK principles.