Principal Search Consulting Architect

Elastic

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On-site
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Posted
95 days ago
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Confirmed live yesterday

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How this pay compares to similar roles

Similar $201k
$130k most similar roles pay here $275k

This listing doesn't post a salary. Most similar roles pay $174,600–$227,862.

Based on 240 similar postings.

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About Elastic

Elastic is the company behind Elasticsearch and the Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash). It sells search, observability, and security products built on that search engine, primarily through its Elastic Cloud managed service.

Elastic currently has 240 open roles on FindRole.

Listed pay typically runs $133,100–$210,600 across 91 roles with salary data.

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At a glance

TL;DR · Principal Search Consulting Architect

As a Principal Search Consulting Architect, you will serve as a technical authority and strategic advisor to enterprise customers to unlock the full potential of Elasticsearch. You will design, govern, and scale complex cluster topologies, manage data retrieval infrastructure, and develop AI-powered semantic search capabilities. Your daily responsibilities include blueprinting nodes, managing shard strategies, performing performance tuning for high-QPS environments, and architecting robust ingestion strategies for petabyte-scale throughput. You will build advanced vector search architectures using kNN, ELSER, and RAG pipelines while influencing the product roadmap. The role requires expertise in Elasticsearch internals, Apache Lucene, and cloud-native infrastructure across AWS, Azure, and GCP. Candidates must possess proficiency in Java, Python, or Go, along with experience in Docker and Terraform to solve complex distributed systems engineering challenges for large-scale enterprise search applications.

What you'll do

  • Translate complex business requirements into resilient enterprise retrieval architectures built on distributed Elasticsearch environments.
  • Design and govern large-scale cluster topologies including node blueprinting, capacity planning, and Index Lifecycle Management.
  • Develop and operationalize semantic search architectures using vector databases, hybrid retrieval, and RAG pipelines.
  • Profile and tune distributed search performance to meet high-QPS requirements and sub-second latency goals.
  • Architect robust ingestion strategies for petabyte-scale data while optimizing cluster state and thread pools.
  • Influence the Elasticsearch product roadmap by collaborating with engineering teams to address enterprise use cases.
  • Create and publish global best practices, reference architectures, and reusable solution patterns for the community.
  • Mentor internal staff and external clients to foster a culture of technical excellence in search technology.

What we're looking for

  • 8+ years of experience as a Principal Architect, Lead Engineer, or Senior Systems Consultant with deep expertise in Elasticsearch at scale.
  • Comprehensive understanding of distributed systems theory and Elasticsearch internals including Apache Lucene indexing and cluster state management.
  • Proven track record of deploying production-grade semantic search solutions using vector fields, ML nodes, and LLM orchestration tools.
  • Advanced knowledge of orchestrating large-scale workloads across AWS, Azure, or GCP using Docker and Terraform.
  • Proficiency in multiple programming languages such as Java, Python, or Go with experience using official Elasticsearch client libraries.
  • Exceptional communication skills to present technical roadmaps to executive stakeholders and align them with business strategy.
  • Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related quantitative field, or equivalent deep industry experience.
  • Ability to work effectively across distributed global teams and travel to client sites as required.

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