Data Masking specialist

Job summary

The specialist will design and implement comprehensive data masking and sanitization strategies to protect sensitive information. They will also integrate these solutions into Azure data pipelines and validate the effectiveness of the masking protocols.

Job details

Position Overview We are seeking a Data Masking & Sanitization Specialist to lead the design, implementation, and validation of data masking and sanitization solutions for our department. Key Responsibilities Design & Strategy • Design comprehensive data masking and sanitization strategies aligned with organizational data governance policies • Identify sensitive data elements across systems and applications • Develop masking rules and sanitization protocols for various data types (PII, financial data etc.) Implementation & Configuration • Implement data masking tools and technologies across development, testing, and non-production environments • Configure masking algorithms and techniques • Integrate masking solutions with existing Azure data pipelines and ETL processes • Ensure masked data maintains referential integrity and usability for testing purposes Validation & Testing • Validate masking effectiveness and completeness • Perform quality assurance testing on masked datasets • Document masking rules and maintain masking metadata repositories Required Qualifications Technical Skills • 5+ years of experience in data masking, data privacy, or data governance • Hands-on expertise with data masking tools • Strong SQL and database knowledge (Oracle, SQL Server, PostgreSQL, etc.) • Experience with ETL tools and data integration platforms • Understanding of encryption, tokenization, and anonymization techniques

What you’ll do

The specialist will design and implement comprehensive data masking and sanitization strategies to protect sensitive information. They will also integrate these solutions into Azure data pipelines and validate the effectiveness of the masking protocols.

Requirements

Candidates must have over 5 years of experience in data masking, privacy, or governance with strong SQL and database knowledge. Expertise in ETL tools and various anonymization techniques is required.

Listed skills

• SQL · Preferred
• PostgreSQL · Preferred
• Oracle · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Masking
• Data Sanitization
• Data Governance
• SQL
• Oracle
• SQL Server
• PostgreSQL
• ETL Tools
• Azure Data Pipelines
• Encryption
• Tokenization
• Anonymization
• Data Privacy
• Data Integration
• Quality Assurance Testing

Job areas

• Data & Analytics
• Technology
• Software
• Consulting
• Security & Safety