Lead Security Platform Architect

TekStream Solutions

6d • Hybrid

About The Position

The Lead Security Platform Architect owns the technical foundation of a next-generation security intelligence platform. This role defines the core data model, entity relationships, ingestion patterns, normalization standards, and integration interfaces that allow diverse security technologies to operate as a unified system. The platform is initially anchored in advanced MDR workflows and will expand to additional security domains such as vulnerability management, cloud security, and related intelligence driven services. This role establishes the architectural spine that all platform capabilities and solutions build upon. This is a foundational architecture role with real ownership and long-term impact—not a point-in-time integration or operations role.

Requirements

• 10+ years designing or architecting distributed systems, security platforms, or large-scale data pipelines.
• Deep experience with schema design, data normalization, and large-scale data modeling.
• Hands-on experience integrating multiple security domains (e.g., SIEM, XDR, cloud security, vulnerability management).
• Proven ability to abstract vendor-specific data and workflows into durable, reusable platform representations.
• Strong architectural leadership and judgment; comfortable setting standards others build against.

Nice To Haves

• Experience with MDR, SOC platforms, or security operations tooling.
• Exposure to automation, detection engineering, or applied AI in operational systems.
• Experience designing systems intended to be operated by teams, not just deployed.

Responsibilities

• Define and own the platform's core schema, entity model, and architectural invariants.
• Architect the ingestion and normalization pipeline that unifies signals across multiple security domains and vendor ecosystems (e.g., SIEM, XDR, cloud and vulnerability platforms).
• Design and maintain clean, durable interfaces between the core platform and domain specific enablement layers.
• Establish standards for parsing, enrichment, correlation, and alert shaping that support both expert operators and automation.
• Partner closely with automation and applied-AI engineers to translate architectural primitives into reusable, scalable workflows.
• Provide architectural oversight across early platform modules, ensuring coherence from data to automation to intelligence.
• Ensure the platform meets high standards for security, observability, scalability, and evolvability as usage grows.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 51-100 employees