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Differential Privacy Jobs in Georgia (NOW HIRING)

Collaborate with data engineering teams to embed privacy-preserving techniques (differential privacy, federated learning, secure multi-party computation) where appropriate. * Command the ability to ...

... differential pay for evening or weekend shifts depending on location and experience. Pharmacy Technicians must follow CVS pharmacy procedures, HIPAA privacy regulations, and state pharmacy laws while ...

... differential pay for evening or weekend shifts depending on location and experience. Pharmacy Technicians must follow CVS pharmacy procedures, HIPAA privacy regulations, and state pharmacy laws while ...

... differential pay for evening or weekend shifts depending on location and experience. Pharmacy Technicians must follow CVS pharmacy procedures, HIPAA privacy regulations, and state pharmacy laws while ...

... differential pay for evening or weekend shifts depending on location and experience. Pharmacy Technicians must follow CVS pharmacy procedures, HIPAA privacy regulations, and state pharmacy laws while ...

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Differential Privacy information

What is differential privacy?

Differential privacy is a mathematical framework used to ensure that individual data remains private when analyzing and sharing aggregate information from a dataset. It introduces controlled random noise to the results of queries or computations, making it difficult to determine whether any specific individual's data is included. This helps organizations gain insights from data while providing strong privacy guarantees for individuals, even against attackers with access to other information. Differential privacy is widely used in fields such as statistics, machine learning, and data publishing.

What are some common challenges faced by professionals working in differential privacy roles?

Professionals in differential privacy often encounter challenges balancing data utility with privacy guarantees, as stricter privacy controls can limit the usefulness of data for analysis. They also need to stay updated on evolving privacy regulations and technological advancements. Collaboration with data scientists, engineers, and legal teams is essential to ensure solutions meet both technical and compliance requirements. Additionally, translating complex mathematical concepts into practical, scalable systems that integrate smoothly with existing infrastructure can be a significant hurdle.

What are the key skills and qualifications needed to thrive as a differential privacy engineer, and why are they important?

To thrive as a Differential Privacy Engineer, you need a strong background in mathematics, statistics, computer science, and experience with privacy-preserving algorithms, usually supported by an advanced degree. Familiarity with programming languages like Python or R, privacy frameworks (such as Google's DP library), and knowledge of data security regulations are typically required. Excellent problem-solving skills, attention to detail, and the ability to communicate complex concepts to non-experts are crucial soft skills. These competencies are vital to designing robust privacy solutions that protect user data while enabling meaningful data analysis.

What is the difference between Differential Privacy vs Data Scientist?

AspectDifferential PrivacyData Scientist
Primary FocusProtecting individual data privacy in datasetsAnalyzing and interpreting complex data to inform business decisions
Required SkillsMathematics, privacy algorithms, data securityStatistics, programming, data visualization
Work EnvironmentResearch labs, tech companies, privacy-focused organizationsBusiness, tech firms, consulting
CertificationsPrivacy certifications, data security credentialsData science certifications, programming skills

While Differential Privacy focuses on implementing privacy-preserving techniques in data handling, Data Scientists analyze data to extract insights. Both roles require strong technical skills, but their core objectives differ: one emphasizes privacy protection, the other data analysis.

What are popular job titles related to Differential Privacy jobs in Georgia?

For Differential Privacy jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Differential Privacy jobs in Georgia look for?

The top searched job categories for Differential Privacy jobs in Georgia are:

What cities in Georgia are hiring for Differential Privacy jobs?

Cities in Georgia with the most Differential Privacy job openings:

Infographic showing various Differential Privacy job openings in Georgia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution.

Enterprise Data Security Architect

Primerica, Inc.

Duluth, GA • On-site

$180K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Primerica rating

9.3

Company rating: 9.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

Join Our Team
In 2025, USA Today recognized Primerica as a Top Workplace USA for the fifth year in a row, and Newsweek named Primerica one of America's Greatest Workplaces for Diversity for the second consecutive year. In 2024, the Atlanta Journal-Constitution named Primerica as a Top Workplace for the eleventh consecutive year, and Forbes recognized Primerica as one of America's Best Employers for Women for the fifth year in a row. In addition, for the tenth time Primerica has been voted a Best Employer by Gwinnett Magazine. Primerica is a great place to work! Join our team to experience what it's like to work at "one of the best places to work in the metro Atlanta".
About this Position
The Cybersecurity Security Architect serves a significant role in strategic planning, product design, and solution testing. The position is instrumental in leading the evaluation of technology acquisitions and managing integrations for the company's technology acquisitions. The architect must have extensive knowledge of multiple disciplines/environments as they will be considered a subject matter expert across the enterprise. The role will serve as a leader and guide on projects, providing frameworks, architecture documents, emerging technologies, enterprise data programs, sample application code, and adherence to enterprise standards.
Salary range is between $180K - $250K USD Annual
Responsibilities & Qualifications
Minimum requirements
  • Defining overarching security reference architectures, patterns, standards, and blueprints that align with business objectives while incorporating secure-by-design strategies.
  • Design controls to mitigate AI-specific risks: prompt injection, data poisoning, model inversion/extraction, adversarial attacks, hallucination exploitation, supply-chain attacks on models/datasets, and agentic/multi-agent system vulnerabilities.
  • Define secure patterns for generative AI deployments including RAG architecture, vector databases, LLM gateways, output filtering, guardrails, red-teaming processes, and responsible AI governance.
  • Leverage threat modeling frameworks such as MITRE ATLAS, OWASP, NIST AI RMF, etc.
  • 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 governance, and tokenization.
  • Secure big data / analytics environments (data lakes, warehouses, feature stores, model registries) and ensure lineage, provenance, and integrity in data use.
  • Collaborate with data engineering teams to embed privacy-preserving techniques (differential privacy, federated learning, secure multi-party computation) where appropriate.
  • Command the ability to properly assess security architecture against regulatory requirements and frameworks.

Preferred requirements
  • This position would require 10 years of security architecture or senior security engineering experience as previously described.
  • 3+ years of direct experience securing AI/MK/GenAI systems, data science platforms, or large-scale data environments
  • CISSP, CCSP, and CISM highly preferred
  • NIST Cybersecurity Framework practical experience is required
  • SABSA or TOGAF framework experience is also preferred.
  • Deep knowledge of modern cloud security (Azure, AWS, GCP), container/kubernetes security, and zero-trust principles.
  • Strong understanding of AI/ML concepts: model lifecycle, training/inference pipelines, embeddings, RAG, agents, fine-tuning, and common attack vectors.
  • Proven track record performing threat modeling and risk assessments for both traditional systems and AI workloads.
  • This person would specifically also understand how to deploy and manage security tech such as DLP (Data Loss Prevention), SIEM systems (e.g., Splunk, ELK), tokenization/masking, and compliance frameworks (GDPR, HIPAA, SOC 2).
  • This person would specifically also understand how to lead Incident Response activities such as monitoring for anomalies, investigating breaches, and lead recovery efforts while minimizing data exposure.
  • If requested, provide some indirect or matrix supervisory responsibility as a project manager, although this does not mean formal supervision of team members (e.g., the position doesn't complete performance evaluations, hire or terminate)

Hybrid Role
Location: Duluth, GA
FLSA status:
This position is exempt (not eligible for overtime pay):
Yes
Our Benefits:
  • Day one health, dental, and vision insurance
  • 401(k) Plan with competitive employer match
  • Vacation, sick, holiday and volunteer time off
  • Life and disability insurance
  • Flexible Spending Account & Health Savings Account
  • Professional development
  • Tuition reimbursement
  • Company-sponsored social and philanthropy events

It has been and will continue to be the policy of Primerica, Inc., and its subsidiaries to be an Equal Opportunity Employer. We provide equal opportunity to all qualified individuals regardless of race, sex, color, religious creed, religion, national origin, citizenship status, age, disability, pregnancy, ancestry, military service or veteran status, genetic or carrier status, marital status, sexual orientation, or any classification protected by applicable federal, state or local laws.
At Primerica, we believe that diversity and inclusion are critical to our future and our mission - creating a foundation for a creative workplace that leads to innovation, growth, and profitability. Through a variety of programs and initiatives, we invest in each employee, seeking to ensure that our people are not only respected as individuals, but also truly valued for their unique perspectives.

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