Solution Architect – AI-Enabled Data Onboarding / Google SecOps

Hiring: Solution Architect – AI-Enabled Data Onboarding / Google SecOps

Location: Perth / Melbourne, Australia

We are looking for an experienced Solution Architect to provide architecture and technical leadership for an AI-enabled, SIEM standards-driven data onboarding initiative, initially focused on Google SecOps and AWS S3/Data Lake.

Essential Skills

• Strong Solution Architecture experience across SIEM, security analytics, observability or data-ingestion platforms

• Strong understanding of SIEM architecture and data onboarding – ingestion, parsing, normalization, routing and data quality

• Experience with Google SecOps or comparable enterprise SIEM platforms

• Understanding of Google SecOps UDM (Unified Data Model) and telemetry mapping

• Strong Cribl Stream experience – collection, routing, filtering, transformation and enrichment

• Deep expertise in AWS S3, Parquet, canonical data schemas, schema mapping and transformation

• API-based integrations and enterprise automation

• Cloud and enterprise architecture covering identity, connectivity, security and access

• Ability to translate standards and governance requirements into reusable technical architecture patterns

• Excellent stakeholder engagement across Cybersecurity, Engineering, Operations and Delivery teams

Desirable Skills

• Google SecOps ingestion, parsers, UDM mapping and automation

• Splunk Enterprise

• Configuration-as-Code, CI/CD and automated testing

• AI / GenAI, agentic automation or AI-assisted engineering

• YARA-L, Regular Expressions and security detection concepts

• Azure, AWS and/or Google Cloud Platform

Key Responsibilities

• Lead solution architecture and technical design for an AI-enabled self-service data onboarding capability

• Define the MVP architecture across Google SecOps and S3/Data Lake, with extensibility to Splunk and Cribl

• Design end-to-end onboarding covering self-service intake, AI-assisted assessment, validation, workflow, governance, provisioning and verification

• Define reusable patterns for ingestion, normalization, validation and data quality

• Design Google SecOps, S3/Data Lake, Cribl and API integration patterns

• Establish automation patterns across workflow, identity, secrets management, networking, source control and CI/CD

• Define safe use of AI for onboarding assessment, recommendations and automation

• Ensure clear separation between AI recommendations, deterministic controls, human approvals and automated execution

• Provide architecture guidance and support technical design reviews

• Identify dependencies, risks and architecture decisions required for production

• Work closely with Cybersecurity, O&M, platform and engineering teams

• Support production readiness and capability handover

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Contact: +61 483 908 099

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