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Data Masking Jobs (NOW HIRING)

JPMorgan Chase & Co.

Data Architect III

Palo Alto, CA · On-site

$133K - $185K/yr

Designs secure multi-tenant data lake architectures using AWS Lake Formation with tag-based policies, data masking strategies, and federated identity integration; implements * cross-account and cross ...

JPMorgan Chase & Co

Data Architect III

Palo Alto, CA

$75.25 - $96.75/hr

Designs secure multi-tenant data lake architectures using AWS Lake Formation with tag-based policies, data masking strategies, and federated identity integration; implements * cross-account and cross ...

CARE USA

DATA SOLUTION ARCHITECT

Atlanta, GA · On-site

Work with systems that handle sensitive data with regulatory compliance and change management processes, including data masking, row and column level data security implementations. * Develop ...

Apex Systems

Test Data Engineer

Phoenix, AZ · On-site

$55 - $60/hr

Implement data masking, anonymization, and synthetic data generation as required. * Maintain documentation of test data processes, data sources, and test data scripts. * Troubleshoot and resolve ...

E*Pro, Inc.

Test Data Manager

Bethesda, MD · On-site

Good understanding of data masking/scrubbing/obfuscation techniques * Proficient in MS Word, Excel, Outlook and PowerPoint. Regards, Sarankumar Rajagopal - Technical Recruiter E Pro Inc - Woodbridge ...

Nastech Global

Technical Lead

Newport Beach, CA · On-site

Roles & Responsibilities • Assess current data landscape; define TDM strategy and standards. • Design K2View Data Products/micro-DBs, masking & subsetting rules, and orchestration. • Build self ...

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Data Masking information

What is the difference between Data Masking vs Data Analyst?

AspectData MaskingData Analyst
Required CredentialsTypically no formal certifications, but knowledge of data security and privacy standardsBachelor's degree in data science, statistics, or related field; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentIT/security teams, often within data security or compliance departmentsBusiness intelligence, analytics teams, or data departments across various industries
Employer & Industry UsageUsed in industries handling sensitive data like finance, healthcare, and retailUsed across industries for data-driven decision making, reporting, and insights

Data Masking focuses on protecting sensitive information by obfuscating data to ensure privacy and security. Data Analysts interpret and analyze data to generate insights. While Data Masking is a technical security process, Data Analysts work with the data post-masking to support business decisions.

What are the key skills and qualifications needed to thrive as a Data Masking Specialist, and why are they important?

To thrive as a Data Masking Specialist, you need a solid understanding of data security principles, database management, and regulatory compliance, typically supported by a degree in computer science or information security. Familiarity with data masking tools such as Informatica, IBM Optim, or Microsoft SQL Server Data Masking, as well as relevant certifications like CISSP or CISM, is often required. Strong analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are crucial to ensure sensitive data is properly protected, minimizing security risks and meeting compliance requirements.

What is data masking?

Data masking is a process used to protect sensitive information by replacing original data with fictional but realistic data. The goal is to ensure that confidential data, such as personal identification numbers or financial information, cannot be accessed by unauthorized users, especially in non-production environments like testing or development. Data masking maintains the format and structure of the original data so that applications can function correctly while ensuring privacy and compliance with regulations. This technique is commonly used in industries that handle large amounts of sensitive information, such as healthcare, finance, and government.

What are some common challenges faced by professionals working in data masking roles?

Professionals in data masking roles often encounter challenges such as ensuring that masked data remains useful for development or testing while maintaining strict compliance with privacy regulations. Balancing security with data utility can be complex, especially when working with legacy systems or large-scale databases. Collaboration with database administrators, developers, and compliance teams is essential to design effective masking strategies and troubleshoot issues as they arise. Staying updated on evolving data privacy laws and best practices is also crucial for long-term success in this field.
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Data Masking jobs near you
Infographic showing various Data Masking job openings in the United States as of May 2026, with employment types broken down into 53% Full Time, and 47% Contract. Highlights an 79% In-person, and 21% Remote job distribution.

K2View Test Data Management SME

Saransh Inc

Southlake, TX • On-site

Contractor

Posted 26 days ago

Job description

Role: K2View Test Data Management SME
Location: South Lake, TX (Onsite from Day 1)
Duration: 6-12 months Contract
 
SKILL METRICS:
Java
Data warehouse
K2V TDM
Python
Fabric

Overview:
  • Seeking a highly experienced Senior Test Data Management (TDM) Engineer with deep expertise in K2View Fabric and Broadway to design, implement, and manage enterprise-scale TDM solutions.
  • This role requires strong technical leadership, hands-on development skills, and the ability to collaborate across engineering, QA, DevOps, and architecture teams.
Key Responsibilities:
Test Data Management & K2View Engineering:
• The successful candidate will design, develop, and maintain K2View Fabric–based test data management solutions for enterprise applications.
• Implement data masking, sub setting, and synthetic data generation across multiple environments.
• Build and maintain automated test data provisioning processes and integrate them into CI/CD pipelines.
• Monitor and optimize the performance, scalability, and availability of TDM solutions.
• Troubleshoot and resolve issues related to test data provisioning, K2View pipelines, and environment inconsistencies.
Technical Leadership & Solution Design:
• Lead technical design of TDM solutions and present architecture to senior leaders and enterprise architects.
• Create clear technical documentation, design specs, runbooks, and best‑practice guidelines.
• Mentor junior developers and promote engineering excellence and coding standards.
• Guide offshore development teams and ensure alignment with architecture and quality expectations.
Collaboration & Stakeholder Engagement:
• Work closely with product owners, QA, DevOps, and data engineering teams to understand requirements and deliver effective TDM solutions.
• Translate business requirements into scalable, secure, and maintainable technical solutions.
• Deliver presentations, demos, and solution overviews to senior leadership and technical committees.
• Support project planning, estimation, and delivery timelines.
Required Experience & Skills/Expertise:
• 10+ years of Test Data Management (TDM) experience in large enterprise or highly regulated industries (finance preferred).
• 5+ years of hands-on experience implementing, configuring, and maintaining the K2View platform (Fabric & Broadway).
Deep practical experience with:
• Data masking, sub setting, and synthetic data generation
• Large-scale databases and distributed data systems
• Designing reusable TDM frameworks using K2View
Technical Skills:
Strong SQL skills and experience with enterprise DBs such as:
• Google Big Query, Teradata, Oracle, SQL Server, DB2
Strong expertise in: Java and Python (highly preferred).
• Experience integrating TDM processes with modern CI/CD pipelines.
• Knowledge of data privacy regulations and compliance frameworks (e.g., GDPR, HIPAA) with the ability to design secure TDM solutions.
• Experience supporting large-scale Data Warehouses and data ecosystem integrations.