Master Data Management (MDM) Engineer

Element Fleet Management • Toronto, ON

1d • CA$62,600 - CA$86,000 • Onsite

About The Position

We’re looking for a Master Data Management (MDM) Engineer to join our team. In this role, you will support and evolve our Enterprise Data Platform. This role combines data stewardship, MDM operations, and modern data engineering, with a focus on ETL/ELT pipelines, Snowflake-based processing, and data quality management. You will play a key role in ensuring trusted Customer & Contact data (Golden Records) while driving automation, intelligent monitoring, and continuous improvement across the data platform.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or related field.
• 3+ years of experience in MDM, data engineering, or data stewardship roles.
• Strong understanding of MDM concepts (Customer, Contact, Match/Merge, Golden Record).
• Strong understanding of data quality and governance principles.
• Hands-on experience with SQL and relational databases.
• Experience working with ETL/ELT pipelines and data flows.

Nice To Haves

• Experience with Reltio/ Semarchy xDM (or similar MDM tools).
• Strong experience with Snowflake: SQL optimization, data modeling, ELT pipelines.
• Hands-on experience with ETL tools: Talend / Qlik / Informatica / AWS Glue.
• Familiarity with AWS (S3, Glue, Lambda).
• Exposure to DevOps tools (JIRA, Git, Jenkins).
• Familiarity with AI-assisted data operations, anomaly detection, or automation frameworks is a plus.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines to ingest data into Snowflake and MDM.
• Develop SQL-based transformations for standardization, cleansing, and enrichment.
• Implement data models (staging, curated, golden layers) aligned with MDM architecture.
• Optimize Snowflake performance, storage, and cost efficiency.
• Implement data validation, reconciliation, and monitoring frameworks across pipelines.
• Define and implement data quality rules, checks, and KPIs.
• Perform root cause analysis and implement preventive fixes.
• Support QA/UAT testing for enhancements, fixes, and data remediation.
• Identify and implement automation opportunities across MDM and data pipelines.
• Drive adoption of AI-driven automation and intelligent workflows to reduce manual effort.

Benefits

• Comprehensive health and welfare benefits that serve the needs of you and your family and foster a culture of wellness (for qualified roles)
• Additional benefits and amenities, including paid time-off programs (vacation, sick leave, and holidays) (for qualified roles)
• health insurance
• tuition reimbursement
• retirement savings plans

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level