Enterprise Data Architect, Deloitte Global Technology

Enterprise Data Architect, Deloitte Global Technology Language My Candidate Profile Employee login Job Description Job Alerts Link Enterprise Data Architect, Deloitte Global Technology Posting Start Date: 10/2/26
Job Type: Permanent
Work Model: Remote
Reference code: 134003
Primary Location: Toronto, ON
All Available Locations: Toronto, ON; Halifax, NS; Ottawa, ON; Vancouver, BC

Our Purpose

At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.

By living our Purpose, we will make an impact that matters.

• Have many careers in one Firm.
• Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
• Learn from deep subject matter experts through mentoring and on the job coaching

Deloitte Global is the engine of the Deloitte network. Our professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our organization.

What will your typical day look like?

We are seeking an experienced Enterprise Data Architect to lead enterprise-wide data architecture, business domain modeling, and information architecture across Deloitte's Global Data Platform. This role will establish and govern enterprise semantic standards, canonical data models, and domain architecture to enable consistent, trusted, and scalable data across the organization.

The successful candidate will partner with business stakeholders, Data Product Pods, and technology teams to align enterprise data strategy, governance, and architecture across key platforms and domains. Experience with SAP S/4HANA Finance and/or Salesforce ecosystems is highly desirable.

Key Responsibilities:

• Lead enterprise data architecture, domain modeling, and governance initiatives across strategic business domains.
• Define and maintain enterprise semantic standards, canonical data models, and information architecture standards.
• Establish business terminology, domain boundaries, entity definitions, and data relationships.
• Develop logical and business domain models supporting enterprise processes and data products.
• Define governance, metadata, lineage, stewardship, and data quality standards.
• Partner with business stakeholders, Data Product Pods, and architecture teams to ensure enterprise alignment.
• Resolve data inconsistencies across ERP, CRM, MDM, and analytics platforms.
• Maintain architecture documentation, business glossaries, and data dictionaries.
• Support the evolution of modern cloud data platforms and enterprise data management capabilities.

About the team

Deloitte Technology works at the forefront of technology development and processes to support and protect Deloitte around the world. In this truly global environment, we operate not in "what is" but rather "what can be" to help Deloitte deliver and connect with its clients, its communities, and one another in ways not previously conceived.

Enough about us, let’s talk about you

Required Skills & Experience

• 8+ years of experience in data architecture, enterprise information architecture, logical data modeling, or domain-driven design.
• Experience defining enterprise canonical models, semantic standards, and data governance frameworks.
• Enterprise and cross-domain data modeling expertise.
• Experience with metadata management, business glossaries, data