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Data Masking Jobs in Georgia (NOW HIRING)

Data Architect

Alpharetta, GA · On-site

$62.25 - $80/hr

Architect "Security-as-Code" within the data plane, integrating PII redaction, data masking, and RBAC directly into the automated deployment pipelines. Innovation & Emerging Tech: * AI/ML Readiness:

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 ...

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 ...

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 ...

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 ...

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 ...

Director, Salesforce AI Specialist

Atlanta, GA

$53.25 - $70.75/hr

Strong knowledge of healthcare compliance (HIPAA, PHI/PII handling), and experience with Salesforce Shield, Event Monitoring, Data Masking, OmniStudio (OmniScripts, Integration Procedures ...

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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.

What cities in Georgia are hiring for Data Masking jobs?

Cities in Georgia with the most Data Masking job openings:

Infographic showing various Data Masking job openings in Georgia as of August 2026, with employment types broken down into 53% Full Time, and 47% Contract. Highlights an 93% In-person, and 7% Remote job distribution.

$62.25 - $80/hr

Full-time

Posted 16 days ago


Job description

Title: Data Architect
Location: Berkeley Heights, NJ / Alpharetta, GA (5days onsite)
Hiring Type: Full-Time
Job Summary
We are seeking a visionary Senior Data Architect to lead our enterprise-wide data transformation. You will be the primary architect responsible for the strategic migration of legacy data infrastructures into a modern, cloud-native data plane. This role requires a rare blend of deep engineering roots, enterprise architectural foresight, and innovation leadership to build data systems that are not just scalable, but "future-proof."
Key Responsibilities
Strategic Architecture & Migration:
  • Legacy-to-Modern Roadmap: Design and execute the multi-year strategy to migrate from legacy RDBMS and mainframes to modern Data Lakehouses and Data Meshes.
  • Data Plane Evolution: Define the "Modern Data Plane" architecture, ensuring seamless
    integration between storage (S3/ADLS/GCS), compute (Spark/Snowflake/Databricks), and consumption layers.
  • Hybrid Cloud Strategy: Architect robust patterns for data movement across hybrid and multi
    cloud environments, ensuring minimal downtime and zero data loss.

Engineering Excellence & Implementation:
  • Pattern Development: Create reusable "Blueprints" for ELT/ETL pipelines, Change Data Capture (CDC), and real-time streaming architectures using Kafka or Redpanda.
  • Performance Engineering: Optimize cloud spend and query performance by implementing advanced indexing, partitioning, and caching strategies.
  • Automated Governance: Architect "Security-as-Code" within the data plane, integrating PII redaction, data masking, and RBAC directly into the automated deployment pipelines.

Innovation & Emerging Tech:
  • AI/ML Readiness: Architect data planes specifically optimized for Generative AI and LLM workloads (e.g., Vector Databases, Feature Stores).
  • Self-Service Innovation: Design and lead the implementation of a Data Catalog and self-service portal to empower data scientists and analysts.
  • Innovation Lab: Lead Proof-of-Concepts (POCs) for emerging technologies (e.g., Iceberg/Hudi formats, serverless data processing).

Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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