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Data Masking Jobs in Georgia (NOW HIRING)

CARE USA

DATA SOLUTION ARCHITECT

Atlanta, GA

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 ...

Salesforce, Inc.

ES Data Ops Strategist

Atlanta, GA

Enforce strict data security boundaries, ensuring localized operational data views comply with global PII regulations, data masking standards, and confidentiality protocols * Partner closely with the ...

CARE

DATA SOLUTION ARCHITECT

Atlanta, GA · On-site

... masking, row and column level data security implementations. • Develop collaborative relationships with key sponsors and IT resources for the efficient resolution of work requests. • Analyze raw ...

smart folks inc

Snowflake AI Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... Column Data Masking, as well as security and governance features. · Strong knowledge of machine learning concepts; experience in designing and developing AI solutions. · Experience with DevOps ...

Compunnel

Primary Architect Data Platform

Atlanta, GA · On-site

$61.25 - $78.75/hr

Knowledge of data masking, tokenization, encryption standards, and identity and access management (IAM) best practices. * Experience implementing data governance frameworks and compliance standards.

Apex Informatics

Data Network Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... masking, and classification in line with Microsoft Purview or Unity Catalog. • Ensure monitoring, logging, and CI/CD automation using Azure DevOps for data workflows. • Provide support during ...

Ascensus

Senior DevOps Engineer

Atlanta, GA · On-site

$125K - $160K/yr

... data masking and PII anonymization for non‑production environments • Validate data integrity and consistency post‑refresh • Define and enforce observability standards across logs, metrics ...

ASCENSUS

Senior DevOps Engineer

Atlanta, GA · Hybrid

$125K - $160K/yr

Enforce data masking and PII anonymization for nonproduction environments * Validate data integrity and consistency postrefresh Observability, Reliability & Operations * Define and enforce ...

TriOptus LLC

Analytics Engineer

Atlanta, GA · On-site

Data Governance & Security • Apply data classification and tagging based on DECAL's data governance framework. • Implement row-level security, data masking, and audit logging as per compliance ...

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Data Masking information

Do data entry jobs really pay?

Data masking jobs typically involve handling sensitive information and may be part of data security or data management roles. Compensation varies based on experience, location, and employer, with many positions offering hourly wages or salaries aligned with industry standards for data-related work.

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 does data masking do?

Data masking is a technique used by data masking professionals to protect sensitive information by replacing it with fictitious or obfuscated data. It ensures that confidential data remains secure during testing, development, or sharing, reducing the risk of data breaches while maintaining data usability. Skills in data masking tools and understanding of data privacy regulations are important for this role.

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.

What is a masking job?

A data masking job involves modifying sensitive information within databases or data sets to protect privacy while maintaining data usability. Professionals in this role use tools and techniques to anonymize or obfuscate data, often working with security standards and compliance requirements.

What is the highest paying job in data?

In data-related fields, roles such as Data Engineering Manager, Data Architect, and Chief Data Officer tend to be the highest paying, often earning six-figure salaries. These positions require advanced skills in data architecture, cloud platforms, and leadership, and typically involve overseeing data strategy and infrastructure.
What are popular job titles related to Data Masking jobs in Georgia? For Data Masking jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Masking jobs in Georgia look for? The top searched job categories for Data Masking jobs in Georgia are:
What cities in Georgia are hiring for Data Masking jobs? Cities in Georgia with the most Data Masking job openings:
Data Masking jobs near you
Infographic showing various Data Masking job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

DATA SOLUTION ARCHITECT

CARE USA

Atlanta, GA

Full-time

Re-posted 16 days ago

Job description

JOB SUMMARY:

CARE is looking for a Cloud solution architect to be part of our Digital team. This person will design, develop, maintain and support our Enterprise Data Warehouse & BI platform.

RESPONSIBILITIES:

  1. Work in an agile environment to analyze, design, develop and deliver Enterprise Data Warehouse solutions using Cloud technologies and Big data platform.
  2. Create ETL pipelines using Python, Azure data factory, Airflow.
  3. Work on creating data pipelines to create and maintain Data lake on AWS or Azure Cloud or equivalent cloud platform.
  4. Work with systems that handle sensitive data with regulatory compliance and change management processes, including data masking, row and column level data security implementations.
  5. Develop collaborative relationships with key sponsors and IT resources for the efficient resolution of work requests.
  6. Analyze raw data sources and data transformation requirements for structured, semi-structured and unstructured data.
  7. Experience working with REST API and micro services-based data integrations to complete data ingestion from varied data sources, open-source platforms.
  8. Write code, and leverage tools, to transform data to incorporate business logic as defined in conjunction with various stakeholders.
  9. Develop, enforce, and recommend enhancements to applications in the area of standards, methodologies, compliance, and quality assurance practices; participate in design and code walkthrough.
  10. Work with team members through all phases of the Systems Development Life Cycle (SDLC) using Agile practices.
  11. Develop and design solutions to support the data analytics and reporting needs, with data warehouse / No SQL and Power BI
  12. Work with real time data streaming and processing using Open source technologies like Kafka , Spark etc.
  13. Good communication skills to present technical solutions, architecture and standards supporting the Digital teams data policies and best practices.
Employment Type: Full-Time

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