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Job Summary

Elastic is seeking a Principal Consulting Architect - Search to lead high-impact engagements helping customers design, scale, and optimize search solutions using the Elastic Stack.

About Elastic

Elastic is the company behind Elasticsearch and the Elastic Stack, delivering powerful search, observability, and security capabilities for organizations worldwide.

What You'll Do

Lead technical engagements with enterprise customers to architect, design, and implement scalable search solutions using Elasticsearch and the Elastic Stack.
Provide strategic guidance on data modeling, index design, query optimization, security, monitoring, and reliability.
Champion best practices for performance, scalability, fault tolerance, and high availability in distributed search environments.
Collaborate with customers and internal teams to define migration and upgrade paths, customize deployments, and integrate with cloud and on-premises architectures.
Serve as a trusted technical advisor, deliver workshops, create reference architectures, and mentor junior staff.
Contribute to thought leadership and develop reusable patterns, reference architectures, and playbooks.

Requirements

Extensive experience designing and delivering large-scale search solutions with Elasticsearch in production environments.
Strong knowledge of Lucene-based indexing, query DSL, analyzers, scoring, and relevance tuning.
Experience with distributed systems concepts, monitoring, reliability, and performance optimization at scale.
Proficiency in one or more programming languages (e.g., Java, Python) and scripting for automation and orchestration.
Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes) for elastic deployments.
Excellent communication and stakeholder management skills; ability to lead customer workshops and present complex technical ideas clearly.
Travel may be required for client engagements.

Nice-to-have

Experience with Kibana dashboards and Elastic Observability features.
Knowledge of security features in the Elastic Stack (roles, TLS, security profiles) and data governance.
Background in data modeling, data pipelines, and ML integration with search workflows.

Elastic