Manager Information, Elections and Projects Job Details

City of Richmond Hill; Richmond Hill; On-site; CAD 60,000 - 80,000; Full time

Job summary

A municipal government organization is seeking an Enterprise Data Architect to design and govern data architecture strategies. The role requires 8–10 years of experience in data warehousing and enterprise data management (EDM). The selected candidate will create data models, ensure compliance with data standards, and collaborate with various teams for data solution implementation. This position offers an opportunity to shape the organization’s data initiatives significantly.

Qualifications

• 8-10 years of experience in data architecture and management.
• Proven experience in designing data models and architectures.
• Strong understanding of data governance policies.

Responsibilities

• Design enterprise data architecture aligned with business and technology strategies.
• Create and maintain conceptual, logical, and physical data models.
• Define data standards, governance policies, and best practices.
• Collaborate with cross-functional teams to implement data solutions.
• Ensure data quality, security, and compliance across platforms.
• Support data warehousing and analytics initiatives.

Skills

Data Warehousing

Enterprise Data Management (EDM)

Job description

Enterprise Data Architect – EDM and Governance

Posted 13 days ago

Location: Toronto

Experience Required: 8–10 Years

Job Description

Job Title: Enterprise Data Architect

Required Skills:

• Data Warehousing
• Enterprise Data Management (EDM)

Key Responsibilities

• Design enterprise data architecture aligned with business and technology strategies.
• Create and maintain conceptual, logical, and physical data models.
• Define data standards, governance policies, and best practices.
• Collaborate with business analysts, developers, and data engineers to implement data solutions.
• Ensure data quality, security, and regulatory compliance across all platforms.
• Guide data integration strategies, including ETL processes, APIs, and streaming data pipelines.
• Support data warehousing, business intelligence (BI), and analytics initiatives.
• Document data architecture, data flows, and metadata.

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