As a Consulting Architect – Observability, you will play a pivotal role in helping our customers realise 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.
\nYou will translate business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack. You will lead end-to-end delivery of customer engagements , from discovery and design through implementation, enablement, and optimisation. You will partner with customers to architect, deploy, and operationalise Elastic solutions that drive measurable value and adoption.
\nYou will provide technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles. You will collaborate cross-functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement. You will capture and share best practices, lessons learned, and solution patterns across the Elastic Services community.
\nYou will guide customers in using Elastic Agents, Beats, Logstash time-series data ingestion, stream processing, and normalisation, and related technologies. You will design and implement custom dashboards, visualisations, and alerting for critical observability use cases in Kibana. You will optimise ingestion pipelines for performance, scalability, and resiliency at enterprise scale.
\nYou will have 5+ years as a consultant, architect, or engineer with expertise in observability, monitoring, or related domains. You will have strong experience with time-series data ingestion and processing, including pipelines with Elastic Agents, Beats, and Logstash. You will have knowledge of messaging queues (Kafka, Redis) and ingestion optimisation strategies.
\nYou will have understanding of observability concepts like distributed tracing, metrics pipelines, log aggregation, anomaly detection, SLOs/SLIs. You will have experience with one or more: Kubernetes, cloud platforms (AWS, Azure, GCP), or infrastructure as code. You will have familiarity with Elastic Common Schema (ECS), data parsing, and normalisation.
\nYou will have proven experience deploying Elastic Observability (APM, UEM, logs, metrics, infra, network monitoring) or similar solutions at enterprise scale. You will have hands-on expertise in distributed systems and large-scale infrastructure. You will have ability to design and build dashboards, visualisations, and alerting thresholds that drive actionable insights.
\nYou will have experience with Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, VMs, Lucene. You will have strong communication and presentation skills, with experience engaging directly with customers. You will have a Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field, or equivalent experience.
\nYou will be comfortable working in highly distributed teams, both remote and on-site when needed. You may require significant travel to customer sites to support engagements and solution implementations; candidates should be comfortable with varying levels of travel based on business needs.
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\nYour technical expertise, eye for business, and ability to deliver value will accelerate and improve the customer experience leading to customer continued satisfaction and expansion within the elastic portfolio. In your role, a crucial part of your responsibility is defining and communicating the technical success criteria for our customers. This involves crafting detailed Technical Success Plans tailored to the specific customers goals and critical metrics.
\nCollaborate closely with the account team, including the Account Executive and the Solutions Architect (Pre-sales engineer), to provide ongoing technical coverage and support, while the account team focuses on identifying new deals. Define the technical success plan for each customer, outlining the optimal use of Elastic solutions to achieve their business objectives. Ensure a successful technical customer journey, from onboarding to adoption, while continuously driving the consumption of Elastic solutions.
\nUnderstand and articulate the value proposition of Elastic solutions and align them with the customer's business goals. Work closely with customers to identify and eliminate technical frictions, promoting a smoother adoption and implementation of Elastic solutions. Liaise between customers and support, as necessary, to ensure an optimized support resolution experience smoothing the adoption curve for the customer.
\nAs a hands-on technical authority, collaborate with the Service Team to deliver personalized, frictionless solutions that meet the unique needs of each customer. Develop a comprehensive understanding of the customer's business needs and translate these into technical requirements for Elastic solutions. Find opportunities for expansion, at which point the account team takes over to expand the subscription, aiming to grow annual recurring revenue (ARR).
\nFoster ongoing customer relationships, ensuring that customers continue to increase their utilization of Elastic solutions, further driving ARR. Continuously review and assess customer consumption of Elastic solutions, proactively suggesting upgrades and enhancements that increase value and drive further consumption.
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\nYou'll collaborate with Elastic’s Professional Services, Engineering, Product, and Sales teams to accelerate adoption of the Elastic Observability platform, ensuring customers maximise 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.
\nKey responsibilities include:
\nRequired skills include:
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\nThe base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
\nAbout the Team
\nThe Finance Data team is embedded within the CFO Org and is responsible for building internal data products that scale analytics across business teams and drive efficiencies in our daily operations. This team provides technical guidance on high-impact, scalable projects across Finance, and is the subject-matter expert in financial and transactional data that supports our Finance day-to-day operations.
\nAbout the Role
\nAs an Analytics Engineer, you will be setting the foundation to scale analytics across our business functions and impart best data practices for a rapidly growing organization. We aspire to build the Finance team of the future.
\nIn addition, you will work collaboratively with key stakeholders in Finance and other business teams to understand their pain points and take the lead in proposing viable, future-proof solutions to resolve them. You will also autonomously lead your own projects that deliver business impact and help cultivate a mature data culture among Finance teams.
\nWe are looking for a seasoned engineer who has a proven track record of owning the entire data stack at high transaction volume companies, managing business critical ETL pipelines consumed by non-technical teams. As a generalist “fixer”, you may be deployed across several different Finance domains (e.g. Tax datamart, ERP migration, Procurement automation). For this role we need someone who excels in dynamic environments, adapts quickly to changing needs, and confidently navigates ambiguous or evolving requirements. If you're energized by solving technical problems without a playbook and comfortable wearing multiple hats, this role is for you! To clarify, you will not be responsible for training ML models and neither would we describe this role as ‘product analytics’.
\nThis role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
\nIn this role, you will:
\nYou might thrive in this role if you have:
\nYou could be an especially great fit if you have:
\nAbout OpenAI
\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
\nWe are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
\nFor additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).
\nBackground checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer
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