Sr. Ww Specialist Sa, Data Protection, Aws Wwso Security Services

Amazon Amazon · Big Tech · Seattle, WA · Solutions Architect

This role focuses on providing expert guidance and technical solutions for data protection challenges within AWS, specifically involving encryption, key management, and securing generative AI and agentic workloads. The individual will lead customer engagements, develop technical expertise, and influence product roadmaps by translating customer feedback into requirements.

What you'd actually do

  1. Lead complex data protection engagements with enterprise customers, guiding their adoption of AWS data protection services including AWS KMS, AWS Private CA, AWS Secrets Manager, AWS Payment Cryptography, and AWS CloudHSM
  2. Lead technical strategy for encryption and key management architectures, including hybrid, multi-cloud, and post-quantum cryptography migration planning
  3. Help customers secure their generative AI and agentic workloads by designing data protection architectures that maintain confidentiality, integrity, and access control as data flows through AI pipelines
  4. Amplify voice of the customer back to AWS data protection product teams, surface field patterns, identify gaps, and translate feedback into clear requirements that shape the roadmap
  5. Provide security expertise and support for customers implementing AI technologies, ensuring secure, compliant, and trustworthy deployments

Skills

Required

  • 6+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  • 3+ years of design, implementation, or consulting in applications and infrastructures exp

Nice to have

  • deep domain-specific expertise in critical security domains
  • expert-level knowledge to solve complex data protection challenges
  • secure, scalable, and resilient technical architectures
  • managing encryption across thousands of accounts
  • migrating to new cryptographic standards
  • extending security controls into generative AI and agentic architectures
  • AWS KMS
  • AWS Private CA
  • AWS Secrets Manager
  • AWS Payment Cryptography
  • AWS CloudHSM
  • hybrid, multi-cloud, and post-quantum cryptography migration planning
  • confidentiality, integrity, and access control as data flows through AI pipelines
  • evolving AI security threats
  • post-quantum cryptography standards
  • data sovereignty regulations
  • internal/external training, workshops, and conference presentations on data protection best practices
  • technical insights at scale
  • data protection best practices, reference architectures, and prescriptive guidance
  • AWS Partners to design and deliver architectures that combine AWS-native data protection services with partner solutions
  • scalable programs and automation tools that amplify data protection best practices across the field

What the JD emphasized

  • data protection
  • encryption
  • key management
  • generative AI
  • agentic architectures