Elastic Consulting Architect

Elastic Elastic · Enterprise · Switzerland · Consulting - EMEA

This role is for an Elastic Consulting Architect who will work with customers to provide technical solutions using the Elastic Stack for enterprise search, observability, and security use cases. The architect will act as a trusted technical advisor, driving customer adoption and delivering end-to-end projects and proof-of-concepts. The role involves data modeling, query optimization, cluster tuning, and collaborating with internal teams to provide feedback for product improvements.

What you'd actually do

  1. Work with clients to facilitate strategy, roadmap, design, and sizing in workshops.
  2. Your activities will include end-to-end delivery of ground-breaking Elastic projects to our customers, as well as development of proof-of-concepts that highlight the value of the Elastic Stack and its solutions.
  3. Daily tasks include driving and handling the objectives, requirements gathering, project tasks, project status, dependencies, and timelines, to ensure engagements are delivered optimally and on time while meeting and exceeding the customer objectives.
  4. Work across teams with engineering, product management, and support teams to identify feature improvements, extensions, and product defects.
  5. Engage with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns.

Skills

Required

  • Minimum 3 years as a consultant, engineer or architect
  • solid experience deploying Elastic solutions or similar domains
  • Experience working on Enterprise projects
  • Experience working with monitoring tools that integrate into service management
  • Experience working to deliver and complete professional services engagements
  • Excel at working directly with customers to capture, prioritize, plan and implement solutions aligned to customer business requirements
  • Strong hands-on experience with large distributed systems and application infrastructure from an architecture and development perspective
  • Knowledge of information retrieval and/or analytics domain
  • Understanding and/or certification in one or more of the following technology Kubernetes, Linux, Java and databases, Docker, Amazon Web Service (AWS), Azure, Google Cloud (GCP), Kafka, Redis, VM’s, Lucene

Nice to have

  • Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification
  • Experience working closely with a pre-sales organization in scoping the needs of Customers
  • Comfortable with Ansible, JavaScript, Terraform
  • ECK experience or Kubernetes
  • Knowledge of machine learning and Artificial Intelligence (AI)
  • Proven understanding of Java and Linux/Unix environment, software development, and/or experience with distributed systems
  • Experience and curiosity about delivering and/or developing product training
  • Experience contributing to an open-source project or documentation
  • Bachelor’s, Master’s or PhD in Computer Science or related engineering field preferred, or equivalent combination of education, training, and experience.
  • Experience as a public speaker to large audiences on enterprise infrastructure software technology to engineers, developers, and other technical positions.
  • Understanding and passion for open-source technology as well as knowledge and proficiency in at least one programming language.

What the JD emphasized

  • Minimum 3 years as a consultant, engineer or architect, this should include solid experience deploying Elastic solutions or similar domains.