Consulting Architect

Role details

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 , you will play a pivotal role in helping customers realize the value of Elastic’s Solutions. While your primary focus will be on observability, you are a versatile expert capable of designing and scaling security architectures to strengthen detection, response, and resilience. Acting as a trusted technical advisor, you will work with enterprises to improve application performance, infrastructure visibility, and end-user experience, while also improving their overall security posture. You will collaborate cross-functionally with Professional Services, Engineering, Product, and Sales to accelerate adoption of the Elastic platform, ensuring customers maximize the value of their data while achieving critical business outcomes. What You Will Be Doing Solution Design & Delivery: Translate business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack. End-to-End Engagement: Lead the delivery of customer projects from discovery and roadmap design through implementation, enablement, and optimization. Architecting Observability: Partner with customers to deploy and operationalize solutions for distributed tracing, metrics pipelines, log aggregation, and SLOs/SLIs. Architecting Security: Guide customers in SIEM, endpoint, and cloud security use cases to improve threat detection and security analytics. Data Engineering: Optimize ingestion pipelines for performance, scalability, and resiliency using Elastic Agents, Beats, Logstash, and stream processing. Actionable Insights: Design and implement custom dashboards, visualizations, detection rules, and alerting in Kibana for both observability and security operations. Technical Leadership: Provide oversight and knowledge transfer to customers and teammates throughout the project lifecycle. Community & Culture: Capture and share best practices and solution patterns, contributing to internal enablement and a culture of continuous learning. What You Bring Professional Expertise: 5+ years as a consultant, architect, or engineer with deep expertise in Search, observability & monitoring, and a strong capability in security domains. Deployment Experience: Proven track record of deploying Elastic Observability (APM, logs, metrics) and Elastic Security (SIEM, endpoint) or similar enterprise-scale solutions. Data Pipeline Mastery: Strong experience with time-series data ingestion, parsing, and normalization (ECS), including the use of Kafka or Redis. Infrastructure Knowledge: Hands-on expertise with distributed systems, Linux, Kubernetes, and public cloud platforms such as AWS, Azure, or GCP. Security Literacy: Familiarity with incident response workflows and common frameworks such as MITRE ATT&CK, NIST, or ISO 27001. Technical Skills: Proficiency in at least one programming or scripting language (e.g., Python, Java, or PowerShell). Communication: Strong presentation skills with the ability to engage directly with stakeholders and explain complex technical concepts. Education: Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Cybersecurity, or a related field, or equivalent experience. Flexibility: Comfort working in highly distributed, remote teams and a willingness to travel to customer sites as required. Bonus Points Elastic Certification: Elastic Certified Engineer or deep expertise with Elasticsearch and Lucene. Consulting Background: Prior experience in professional services environments. Modern Tooling: Experience with Infrastructure-as-Code (Terraform, Ansible) and container orchestration (ECK). Emerging Tech: Knowledge of machine learning or AI as applied to observability and security. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $133,100 - $210,600 USD The typical starting salary range for this role in the select locations listed above is: $159,900 - $252,900 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new ca