AI-Enabled Data Onboarding Architect - SIEM & SecOps

Ampstek; Melbourne; On-site; AUD 210,000 - 260,000; Full time

Job summary

Ampstek is seeking a Solution Architect to lead the AI-enabled, data onboarding initiative for Google SecOps and S3/data lake, shaping the MVP architecture and integration patterns. You will collaborate with cybersecurity, engineering and delivery teams to build a scalable self-service onboarding capability.

The role emphasizes architecture, data onboarding, integration and automation, with responsibilities spanning standards- driven validation, API-based integrations and governance across cloud

Qualifications

• Strong experience in solution architecture, preferably involving SIEM, security analytics, observability or data-ingestion platforms.
• Good understanding of SIEM architecture and data onboarding concepts, including ingestion, parsing, normalization, routing and data quality.
• Experience with Google SecOps, or comparable enterprise SIEM platforms with the ability to rapidly develop Google SecOps expertise.

Responsibilities

• Lead the solution architecture and technical design of the AI-enabled self-service data onboarding capability.
• Define the MVP architecture, initially integrating with Google SecOps, data lake/S3 while maintaining extensibility to Splunk and Cribl.
• Design the end-to-end onboarding architecture covering self-service intake, AI-assisted assessment, standards- driven validation, workflow, governance, provisioning and verification.

Skills

Solution architecture

SIEM

Security analytics

Data onboarding

Cloud architectures

Tools

Cribl Stream

Splunk

Google SecOps

AWS S3

Parquet

Job description

Ampstek is seeking a Solution Architect to lead the AI-enabled, data onboarding initiative for Google SecOps and S3/data lake, shaping the MVP architecture and integration patterns. You will collaborate with cybersecurity, engineering and delivery teams to build a scalable self-service onboarding capability.

The role emphasizes architecture, data onboarding, integration and automation, with responsibilities spanning standards- driven validation, API-based integrations and governance across cloud