Consulting Architect - Observability
ElasticUnited StatesPosted 1 April 2026
Tech Stack
Job Description
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
Elastic, the Search AI Company , enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
What is the Role
As a Consulting Architect – Observability , you will play a pivotal role in helping our customers realize the value of Elastic’s Solutions. Acting as a trusted technical advisor, you will work with enterprises to design, deliver, and scale architectures that improve application performance, infrastructure visibility, and end-user experience.
You’ll collaborate with Elastic’s Professional Services, Engineering, Product, and Sales teams to accelerate adoption of the Elastic Observability platform, ensuring customers maximize the value of their data while achieving business outcomes. This is a highly impactful role, with opportunities to guide strategy, lead complex implementations, and mentor both customers and teammates.
What You Will Be Doing
Translate business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack.
Lead end-to-end delivery of customer engagements — from discovery and design through implementation, enablement, and optimization.
Partner with customers to architect, deploy, and operationalize Elastic solutions that drive measurable value and adoption.
Provide technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles.
Collaborate cross-functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement.
Capture and share best practices, lessons learned, and solution patterns across the Elastic Services community.
Contribute to internal enablement, mentoring, and a culture of continuous learning and collaboration
Guide customers in using Elastic Agents, Beats, Logstash time-series data ingestion, stream processing, and normalization, and related technologies.
Design and implement custom dashboards, visualizations, and alerting for critical observability use cases in Kibana.
Optimize ingestion pipelines for performance, scalability, and resiliency at enterprise scale.
What You Bring
5+ years as a consultant, architect, or engineer with expertise in observability, monitoring, or related domains.
Strong experience with time-series data ingestion and processing, including pipelines with Elastic Agents, Beats, and Logstash.
Knowledge of messaging queues (Kafka, Redis) and ingestion optimization strategies.
Understanding of observability concepts like distributed tracing, metrics pipelines, log aggregation, anomaly detection, SLOs/SLIs.
Experience with one or more: Kubernetes, cloud platforms (AWS, Azure, GCP), or infrastructure as code.
Familiarity with Elastic Common Schema (ECS), data parsing, and normalization.
Proven experience deploying Elastic Observability (APM, UEM, logs, metrics, infra, network monit ... (truncated, view full listing at source)
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