Design and lead large-scale, distributed Splunk and data platform architectures across hybrid and multi-cloud environments (AWS, Azure, GCP)
Translate business and operational use cases into scalable, production-grade solutions
Act as a technical escalation point for complex Splunk Cloud and platform challenges
Drive architecture governance, best practices, and performance optimisation
Provide guidance into root cause analysis for critical issues and guide long-term remediation strategies
Serve as a trusted advisor to customers, aligning technology with business outcomes
Lead POCs, solution design, and architecture workshops
Work closely with Sales, Solution Engineers, and customers to shape and close opportunities
Partner with product teams to bring field and customer insights into roadmap discussions
Enable integration with open ecosystem platforms (e.g., data lakes, lakehouses, observability and security tools)
Contribute to the adoption of AI/ML-driven capabilities within the Splunk ecosystem
Explore and operationalise agentic workflows, automation, and data-driven intelligence

Demonstrated success in bringing ideas to life and delivering measurable outcomes
Strong foundation in modern data architectures and distributed systems
Hands-on experience with cloud platforms (AWS, Azure, GCP)
Hands-on experience of Splunk platform (Enterprise / Cloud) or alike systems/platforms and data lifecycle
Natural curiosity with a passion for innovation, learning, and knowledge sharing
Strong stakeholder engagement skills with the ability to influence at technical and executive levels.

Platform and AI Solution Architect

Key skills