Principal Architect - Data Analytics & AI

Principal Architect - Data Analytics & AI

Roles and Responsibilities

• Lead efforts to mature

  Cybersecurity Analytics and AI

  .
• Work on the creation and maintenance of the

  Cybersecurity Analytics and AI Platform

  .
• Partner with product, platform, engineering, and operations teams to ensure the adoption of best practices.
• Act as a subject matter expert in technology domains such as business intelligence dashboards, AI, and Agentic workflows.
• Be responsible for technology in areas such as

  AWS Data Lake, AWS QuickSight, AWS Bedrock, Python, and LangGraph Agentic workflows

  .
• Develop and promote security and resiliency architecture strategies, frameworks, and patterns.
• Assist in defining and implementing

  CI/CD pipeline tools

  , test plans, and vulnerability assessment tools for the Cybersecurity Analytics and AI Platform.
• Serve as a champion for secure

  infrastructure-as-code

  for the IaaS, PaaS, and SaaS environments.
• Lead continuous improvement efforts, including preparing and analyzing data to identify opportunities for improvement.

Skills Required

• Expert knowledge of

  AWS Data Lake, AWS Glue, AWS QuickSight, and Python

  .
• Working knowledge of cloud service providers (

  AWS as primary

  , Azure, GCP are a plus).
• Working knowledge of

  security protocols, cryptography, and secure network architectures

  .
• Proficiency with

  scripting and automation tools

  .
• Working knowledge of

  identity and access management (IAM)

  .
• Basic understanding of network security and data encryption.