Data Masking Specialist
The specialist will identify sensitive PII data and configure masking rules to support enterprise data privacy initiatives. They will execute masking jobs and troubleshoot complex issues while maintaining data integrity across large datasets.
- On-site
- Toronto, ON
- Posted Sep 3, 2026
- Apply by Oct 3, 2026
- 1 position
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Job summary
We are seeking a Data Masking Specialist with strong database and SQL expertise to support enterprise data masking and data privacy initiatives. The candidate will work with large datasets, identify sensitive and PII data, configure masking rules, execute masking jobs, and troubleshoot complex data masking issues while ensuring data integrity. The ideal candidate should possess strong analytical and problem-solving skills, understand data relationships and referential integrity, and be comfortable collaborating with DBAs, application teams, and technical stakeholders. Experience with a specific masking tool is not mandatory as training will be provided. Top 3 Required Skills: 1. Strong SQL and database experience with hands-on work on large datasets. 2. Ability to identify sensitive/PII information and understand data relationships, referential integrity, and deterministic masking. 3. Hands-on experience configuring, executing, and troubleshooting data masking rules and jobs. Top 3 Preferred Skills: 1. Experience with data masking or data anonymization solutions. 2. Scripting and automation experience (Shell, Python, PowerShell, etc.). 3. Strong troubleshooting and problem-solving skills with understanding of various data formats. Education Requirements: Bachelor's degree in computer science, Information Technology, Engineering, or equivalent experience
What you’ll do
The specialist will identify sensitive PII data and configure masking rules to support enterprise data privacy initiatives. They will execute masking jobs and troubleshoot complex issues while maintaining data integrity across large datasets.
Requirements
Candidates must have strong SQL expertise and experience managing large datasets and referential integrity. A bachelor's degree in Computer Science, IT, or Engineering is required.
Listed skills
- SQLPreferred
- TroubleshootingPreferred
- PythonPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- SQL
- Database Management
- Data Masking
- PII Identification
- Referential Integrity
- Deterministic Masking
- Data Anonymization
- Shell Scripting
- Python
- PowerShell
- Troubleshooting
- Data Privacy
Job areas
- Data & Analytics
- Technology
- Software
- Consulting
- Engineering
Additional details
- Minimum education
- Bachelor’s degree
- Minimum experience
- 5+ years
- Apply by
- Oct 3, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available