Principal Architect, Solution Architecture

New
J
JobgetherIdentity Security
Based in United StatesFull-TimePrincipal
Salary not disclosed
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Job Details

Required Skills
RESTful APIsDatabricks

Requirements

  • Demonstrated hands-on architecture experience with SailPoint, including strong expertise in SailPoint Identity Security Cloud (ISC).
  • Strong knowledge of identity lifecycle management, identity governance, access-request workflows, approvals, provisioning, and connected-system architecture.
  • Proven experience designing enterprise solution architectures that integrate cloud platforms, applications, APIs, data sources, and security services.
  • Deep understanding of identity data connectivity and how identity information moves between identity platforms and external systems.
  • Experience designing data platforms, data lakes, data fabrics, analytics foundations, or comparable enterprise data architectures.
  • Ability to connect identity architecture with data, analytics, automation, and user experience requirements.
  • Strong ability to explain architectural tradeoffs, document technical decisions, and guide cross-functional teams from initial concept through implementation.
  • Experience operating as a senior technical leader within complex, matrixed enterprise environments.
  • Experience with AI, generative AI, or agentic AI applied to enterprise workflows, identity, security, or access management.
  • Experience with Databricks or comparable data and analytics platforms.

Responsibilities

  • Own the target architecture and technical roadmap for an enterprise identity lifecycle management platform centered on SailPoint Identity Security Cloud (ISC).
  • Design scalable integration patterns connecting SailPoint ISC with external platforms, enterprise applications, authoritative sources, and downstream identity and access services.
  • Define approaches for identity data ingestion, connectivity, normalization, governance, access, and reuse across the broader identity ecosystem.
  • Guide the development of an identity data lake and data fabric that can support analytics, automation, and user-facing experience capabilities.
  • Partner with data and engineering teams to leverage enterprise data and analytics platforms, including Databricks and Lina, for identity-related solutions and insights.
  • Architect intuitive user experiences that translate identity data and workflows into efficient interactions for employees, approvers, administrators, and other stakeholders.
  • Shape identity-focused agentic AI use cases, including assistants that can understand user context, identify requested application access, initiate requests, and route approvals.
  • Establish architecture standards, reusable integration patterns, reference designs, and technical decision documentation for identity lifecycle solutions.
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