Senior Data Architect​/Data Modeler – Customer​/MDM

Location:

Hybrid in Guelph, ON

Federal Government Clearance Level

Required:

None

Vacancy Type:

About Us:

Maplesoft Group is currently seeking a hybrid Senior Data Architect/Data Modeler – Customer 360 / MDM for our client.

Position Summary:

We are seeking a Senior Data Architect/Data Modeler – Customer 360 / MDM with 8+ years of experience supporting the delivery of client data products for our client. The role focuses on capturing business requirements, translating them into logical and physical data models, and partnering closely with data engineers to enable scalable client centric data solutions.

• Lead the elicitation and documentation of business, analytical, and data requirements from cross‑functional stakeholders.
• Translate business needs into well‑structured conceptual, logical, and physical data models.
• Design and maintain client‑centric data models (Customer, Household, Account, Interaction, Relationship hierarchies).
• Develop and enhance data structures supporting a 360° client view.
• Partner closely with data engineers to ensure scalable, performant implementation of data models.
• Contribute to enterprise data foundations, ensuring consistency, reusability, and scalability.
• Apply best practices in data modeling, data governance, and data quality management.
• Ensure alignment with enterprise standards, naming conventions, and metadata management practices.
• Support Master Data Management (MDM) initiatives and customer data harmonization efforts.
• Provide subject matter expertise in client data domains across platforms and initiatives.

• Experience with Master Data Management (MDM) platforms and principles.
• 8+ years of experience in data architecture and data modeling within enterprise or client‑facing data environments.
• Strong hands‑on experience building:
  • Conceptual data models
  • Logical data models
  • Physical data models
• Strong working experience with Salesforce data structures and integrations.
• Deep understanding of:
  • Data quality frameworks
  • Data governance and stewardship concepts
• Experience working with enterprise data platforms and modern data ecosystems.
• Strong stakeholder engagement and communication skills.

• Experience with Databricks and Pyspark
• Exposure to cloud data platforms (e.g., Snowflake, Azure, AWS, GCP).
• Familiarity with data catalog and metadata tools.
• Financial services, retail, or customer‑centric industry experience is a plus.

Salary Range: $65.00 – $90.00 per hour

Our recruitment process is led by human recruiters who review all applications and make the final hiring decisions. We use AI‑assisted tools to help screen and organize applications. These tools do not replace human judgment, and all hiring decisions are made by people.

Please note that data collected by the Company may be stored or processed on servers located outside of Canada.

Submission Deadline:

Thursday, February 19 2026 3:00 pm EST

How to Apply:

Maplesoft is an equal opportunity employer and welcomes applications from all qualified candidates. Accommodations are available upon request throughout the recruitment process.