Enterprise Data Security Architect

Duluth, GA, US • Posted 2 hours ago • Updated 2 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Strategic Planning
  • Product Design
  • Testing
  • Evaluation
  • Acquisition
  • Emerging Technologies
  • Design Controls
  • Extraction
  • Supply Chain Management
  • Vector Databases
  • ATLAS
  • OWASP
  • RMF
  • Risk Management Framework
  • Encryption
  • Big Data
  • Collaboration
  • Data Engineering
  • Privacy
  • Security Architecture
  • Security Engineering
  • Generative Artificial Intelligence (AI)
  • Data Science
  • CISSP
  • Cisco Certifications
  • CISM
  • Cyber Security
  • TOGAF
  • Cloud Security
  • Microsoft Azure
  • Amazon Web Services
  • Google Cloud Platform
  • Google Cloud
  • Kubernetes
  • Machine Learning (ML)
  • Training
  • Threat Modeling
  • Risk Assessment
  • Artificial Intelligence
  • Management
  • DLP
  • Data Loss Prevention
  • SIEM
  • Splunk
  • Regulatory Compliance
  • HIPAA
  • System On A Chip
  • Incident Management
  • Recovery
  • MEAN Stack
  • Supervision
  • Data Security
  • Insurance
  • Professional Development
  • RT
  • Recruiting
  • Reporting

Summary

Job Description

Enterprise Data Security Architect

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.

Enterprise Data Security Architect Responsibilities & Qualifications

Enterprise Data Security Architect 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.
  • Lead threat modeling using 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.
Enterprise Data Security Architect 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, Google Cloud Platform), 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

Enterprise Data Security Architect 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

#RT
#DICEJOBS

Meet Your Recruiter


Technical Recruiter


I'm happy to connect with you on your next career challenge. Whatever your needs are, we at Resolution Technologies promise to provide unrivaled quality and service. Please don't hesitate to contact me if you have any questions about this position.



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  • Dice Id: 10340091
  • Position Id: 3187
  • Posted 2 hours ago
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