Consulting Architect
What Is The Role
You will have the opportunity to work with a tremendous services, engineering, and sales team and wear many hats. This is a meaningful role, as a Consulting Architect (Observability), you have an outstanding chance to create an immediate impact on the success of Elastic and our customers.
What You Will Be Doing
As a member of our professional services team you will deliver Elastic solutions and elastic stack expertise to drive customer business value from our products. Work with clients to facilitate strategy, roadmap, design, and sizing in workshops. You will apply your soft skills to advocate for your customers, build relationships and exhibit strong communications skills. Comfortability working remotely in a highly distributed team. Your activities will include end-to-end delivery of ground-breaking Elastic projects to our customers, as well as development of demos and proof-of-concepts that highlight the value of the Elastic Stack and its solutions. Other topics will include Elastic solutions adaption and acceleration along with data modeling, query development and optimization, cluster tuning and scaling with a focus on fast search and analytics at scale.
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 the business objectives. Work across teams with engineering, product management, and support teams to identify feature improvements, extensions, and product defects. Facilitate feedback from field back to the product. Engage with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns. Be a mentor to your team members.
What You Will Bring
Minimum 5 years as a consultant, engineer or architect. Experiences in time series data ingestion. End to End Ingestion methods (Agent, Beats, and Logstash). Familiarity with messaging queues (Kafka, Redis). Ingest optimization, data streams and sharding strategy. Ingest lag analysis and improvement. Elastic Common Schema knowledge, data parsing and normalization. Enable customer to adapt Elastic Observability Solution and related OOTB features. Design and Build custom visual artifacts and understanding of key critical metrics that make valuable contributions to your customer. Identify thresholds for alerting.
Fleet and agent installation policies, and scalability considerations. Knowledge in deploying enterprise observability (Metrics and Logs) solutions at scale (Application performance monitoring (APM), User experience monitoring (UEM), Infrastructure optimization, Network visibility and monitoring). Experience leading observability projects at both the architectural and program level. Experience working with monitoring tools that integrate into service management. Bachelor’s, Master’s or PhD in Computer Science or related engineering field preferred, or equivalent combination of education, training, and experience. Experience working to deliver and complete professional services engagements. Experience as a public speaker to large audiences on enterprise infrastructure software technology to engineers, developers, and other technical positions. Hands-on experience and an understanding of Elasticsearch and/or Lucene. Excel at working directly with customers to gather, prioritize, plan and implement solutions to customer business requirements as it relates to our technologies. Understanding and passion for open-source technology and knowledge and proficiency in at least one programming language. 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. Occasional travel may be required.
Bonus Points:
Big 4 Experience
Deep understanding of our product, including Elastic Certified Engineer certification
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
About the job
Apply for this position
Consulting Architect
What Is The Role
You will have the opportunity to work with a tremendous services, engineering, and sales team and wear many hats. This is a meaningful role, as a Consulting Architect (Observability), you have an outstanding chance to create an immediate impact on the success of Elastic and our customers.
What You Will Be Doing
As a member of our professional services team you will deliver Elastic solutions and elastic stack expertise to drive customer business value from our products. Work with clients to facilitate strategy, roadmap, design, and sizing in workshops. You will apply your soft skills to advocate for your customers, build relationships and exhibit strong communications skills. Comfortability working remotely in a highly distributed team. Your activities will include end-to-end delivery of ground-breaking Elastic projects to our customers, as well as development of demos and proof-of-concepts that highlight the value of the Elastic Stack and its solutions. Other topics will include Elastic solutions adaption and acceleration along with data modeling, query development and optimization, cluster tuning and scaling with a focus on fast search and analytics at scale.
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 the business objectives. Work across teams with engineering, product management, and support teams to identify feature improvements, extensions, and product defects. Facilitate feedback from field back to the product. Engage with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns. Be a mentor to your team members.
What You Will Bring
Minimum 5 years as a consultant, engineer or architect. Experiences in time series data ingestion. End to End Ingestion methods (Agent, Beats, and Logstash). Familiarity with messaging queues (Kafka, Redis). Ingest optimization, data streams and sharding strategy. Ingest lag analysis and improvement. Elastic Common Schema knowledge, data parsing and normalization. Enable customer to adapt Elastic Observability Solution and related OOTB features. Design and Build custom visual artifacts and understanding of key critical metrics that make valuable contributions to your customer. Identify thresholds for alerting.
Fleet and agent installation policies, and scalability considerations. Knowledge in deploying enterprise observability (Metrics and Logs) solutions at scale (Application performance monitoring (APM), User experience monitoring (UEM), Infrastructure optimization, Network visibility and monitoring). Experience leading observability projects at both the architectural and program level. Experience working with monitoring tools that integrate into service management. Bachelor’s, Master’s or PhD in Computer Science or related engineering field preferred, or equivalent combination of education, training, and experience. Experience working to deliver and complete professional services engagements. Experience as a public speaker to large audiences on enterprise infrastructure software technology to engineers, developers, and other technical positions. Hands-on experience and an understanding of Elasticsearch and/or Lucene. Excel at working directly with customers to gather, prioritize, plan and implement solutions to customer business requirements as it relates to our technologies. Understanding and passion for open-source technology and knowledge and proficiency in at least one programming language. 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. Occasional travel may be required.
Bonus Points:
Big 4 Experience
Deep understanding of our product, including Elastic Certified Engineer certification
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