ZipRecruiter

Log In

1

Data Security Jobs in Atlanta, GA (NOW HIRING)

Magicforce

Data Security Engineer

Alpharetta, GA · On-site

$60 - $70/hr

The Senior Data Security Engineer will help build and operationalize a Data Security Posture Management capability across on-premises, cloud, Software as a Service, and hybrid environments. This role ...

Monitise

Data Security Engineer

Alpharetta, GA · On-site

As a Data Security Engineer, you design, implement, and enhance security controls that protect sensitive data across our enterprise. You work closely with cybersecurity, infrastructure, and ...

Primerica

Enterprise Data Security Architect

Duluth, GA · On-site

$180K - $250K/yr

Architect and support enterprise data security controls: classification, encryption (at-rest, in-transit, in-use), data loss preventions (DLP), data security posture management (DSPM), access ...

Accenture

Data Protection Consultant

Atlanta, GA · On-site

$112K - $133K/yr

As a Data Protection Consultant, you'll lead the delivery of data protection and data governance ... Microsoft security-related certifications strongly preferred (e.g., SC-401, SC-300, SC-200, AZ-500 ...

Accenture

Data Protection Consultant

Atlanta, GA · On-site

$112K - $133K/yr

As a Data Protection Consultant, you'll lead the delivery of data protection and data governance ... Microsoft security-related certifications strongly preferred (e.g., SC-401, SC-300, SC-200, AZ-500 ...

TIER4 GROUP

Data Architect

Atlanta, GA · Hybrid

$61.25 - $78.75/hr

... Security and Privacy: o Design and implement data security frameworks to protect sensitive data. o Ensure compliance with data privacy regulations and enforce secure data access policies. · ...

next page

Showing results 1-20

All JobsData Security JobsData Security Jobs in Atlanta, GA

Data Security information

See Atlanta, GA salary details

$15

$22

$52

How much do data security jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data security in Atlanta, GA is $22.12, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $17.55 per hour, depending on experience, location, and employer.

What is data security?

Data security refers to the processes and technologies used to protect digital information from unauthorized access, corruption, or theft throughout its lifecycle. It involves implementing measures such as encryption, access controls, and regular security audits to safeguard sensitive data. Businesses and individuals use data security to ensure confidentiality, integrity, and availability of their information. Strong data security practices are essential for complying with regulations and protecting against cyber threats.

What are the key skills and qualifications needed to thrive as a data security professional, and why are they important?

To thrive as a Data Security professional, you need a strong grasp of cybersecurity principles, risk assessment, and experience with security frameworks, often supported by a degree in computer science or information security. Familiarity with tools such as firewalls, intrusion detection/prevention systems (IDS/IPS), encryption technologies, and certifications like CISSP or CISM is highly valued. Attention to detail, analytical thinking, and effective communication are crucial soft skills for identifying threats and articulating security measures to stakeholders. These competencies are essential for safeguarding sensitive information, ensuring compliance, and minimizing the impact of security breaches.

What are some common challenges faced by professionals in data security roles, and how can they be addressed?

Professionals in Data Security roles frequently encounter challenges such as rapidly evolving cyber threats, balancing security measures with user convenience, and ensuring compliance with complex regulations. Staying updated with the latest threat intelligence and regularly participating in training can help address these issues. Collaborating closely with IT, legal, and business teams also ensures that security policies are both practical and effective. Regular risk assessments and proactive communication are key strategies for overcoming these challenges.

What is the difference between Data Security vs Data Analyst?

AspectData SecurityData Analyst
Required CertificationsCompTIA Security+, CISSP, CISACAP, Microsoft Certified Data Analyst, Google Data Analytics
Work EnvironmentIT security teams, cybersecurity departmentsBusiness intelligence, data analysis teams
Industry UsageFinance, healthcare, government, techMarketing, finance, consulting, tech

Data Security focuses on protecting data from breaches and unauthorized access, involving cybersecurity measures and compliance. Data Analysts interpret and visualize data to support business decisions. While Data Security ensures data integrity and confidentiality, Data Analysts utilize data to generate insights. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.

Is data security a good career?

Data security is a strong career choice for those interested in protecting information systems and networks. It involves skills in cybersecurity tools, risk management, and often requires certifications like CISSP or CISM. The field offers high demand, competitive salaries, and opportunities for advancement in various industries.

What does a data security job do?

A data security job involves protecting an organization's digital information from unauthorized access, breaches, and cyber threats. Professionals in this field implement security measures such as encryption, firewalls, and access controls, and often require knowledge of security tools and certifications like CISSP or CISM. They monitor networks, investigate security incidents, and ensure compliance with data protection regulations.

What are popular job titles related to Data Security jobs in Atlanta, GA?

For Data Security jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Data Security jobs in Atlanta, GA look for?

The top searched job categories for Data Security jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Data Security jobs?

Cities near Atlanta, GA with the most Data Security job openings:

Data Security jobs near you
Infographic showing various Data Security job openings in Atlanta, GA as of August 2026, with employment types broken down into 73% Full Time, 9% Part Time, and 18% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $46,009 per year, or $22.1 per hour.

Data Security Engineer

Magicforce

Alpharetta, GA • On-site

$60 - $70/hr

Contractor

Posted 10 days ago

Job description

The Senior Data Security Engineer will help build and operationalize a Data Security Posture Management capability across on-premises, cloud, Software as a Service, and hybrid environments. This role will partner with engineering teams to design, develop, implement, and operate solutions that protect sensitive data, reduce risk, improve visibility, and support governance, monitoring, and remediation workflows.

Responsibilities

  • Engineer and operate Data Security Posture Management capabilities that continuously discover, inventory, classify, assess, monitor, and protect sensitive data across structured and unstructured data stores.
  • Onboard data sources across databases, data warehouses, data lakes, object stores, file platforms, Software as a Service applications, and cloud services through connectors, scanners, application programming interfaces, and customer-side components.
  • Design and build secure integrations between Data Security Posture Management platforms and enterprise services, including data catalogs, identity and access management, configuration management, security monitoring, incident response, ticketing, reporting, and downstream control systems.
  • Develop Python services, scripts, and automation for source onboarding, metadata enrichment, scan orchestration, evidence capture, finding normalization, risk scoring, workflow integration, and remediation.
  • Correlate data sensitivity, ownership, location, lineage, permissions, identity context, configuration, exposure, and activity signals to identify and prioritize material data risks.
  • Configure and tune discovery, classification, policies, analytics, alerting, dashboards, and workflows while measuring classifier quality, coverage, false positives, and control effectiveness.
  • Implement and validate least privilege, Zero Trust, encryption, masking, tokenization, labeling, retention, and other data protection controls with platform teams.
  • Translate findings into remediation actions, automate response patterns, and track risks, exceptions, ownership, evidence, and closure.
  • Support security architecture reviews by documenting deployment footprints, data flows, trust boundaries, access models, encryption, logging, software components, and control evidence.
  • Build observability for platform availability, connector health, scan performance, data freshness, coverage, finding quality, and integration reliability.
  • Participate in design reviews, code reviews, testing, release management, Agile ceremonies, operational readiness activities, documentation, and knowledge sharing.
  • Partner with governance, privacy, compliance, security operations, application, cloud, and data owners to convert technical insights into business-relevant risk improvements.
  • Collaborate with peer engineers to establish reusable patterns, review designs and code, and resolve technical risks and dependencies.

 

Qualifications

Required Qualifications

  • Seven or more years of experience in cybersecurity, data security, security engineering, data engineering, cloud security, or a related field.
  • Strong understanding of Data Security Posture Management concepts and data-centric security practices.
  • Experience with structured and unstructured data environments and modern data architectures.
  • Strong Python development skills and application programming interface integration experience.
  • Experience integrating enterprise platforms using application programming interfaces, event-driven architectures, queues, or streaming technologies.
  • Knowledge of identity and access management, least privilege, encryption, logging, secrets management, and network security.
  • Experience with Linux, Git, continuous integration and continuous delivery, automated testing, containers, and infrastructure automation.
  • Strong troubleshooting skills across applications, operating systems, networks, cloud services, identities, and data sources.
  • Understanding of data classification methodologies, privacy requirements, regulatory obligations, and risk-based controls.
  • Ability to create technical designs, operational procedures, metrics, and risk communications for technical and business audiences.
  • Understanding of secure and governed artificial intelligence practices throughout the technology lifecycle.

 

Preferred Qualifications

  • Experience with Data Security Posture Management, data discovery, data classification, data catalog, data loss prevention, insider risk, or data access governance solutions.
  • Experience with Microsoft Purview, BigID, Varonis, Cyera, Securiti, or similar technologies.
  • Experience with Azure, Amazon Web Services, Google Cloud, MongoDB, relational databases, data warehouses, data lakes, or lakehouse platforms.
  • Experience with Kubernetes, Docker, Terraform, Ansible, Kafka, Jenkins, Flux, Grafana, Loki, or Splunk.
  • Knowledge of security monitoring, automation and response platforms, configuration management databases, data lineage, identity and access management, cryptography, masking, retention, and secure deletion solutions.
  • Familiarity with NIST guidance, Zero Trust principles, cloud security baselines, and security frameworks used in regulated environments.
  • Experience supporting security reviews, proof-of-concept initiatives, technology onboarding efforts, or production readiness assessments.

 

Tools and Technologies

Python, Microsoft Purview, BigID, Varonis, Cyera, Securiti, Azure, Amazon Web Services, Google Cloud, MongoDB, SQL and relational databases, data warehouses and data lakes, Kubernetes, Docker, Terraform, Ansible, Kafka, Jenkins, Grafana, Loki, Splunk, Git, Linux, Continuous Integration and Continuous Delivery platforms