At a Glance
- Tasks: Join us as a Consulting Architect to deliver innovative Elastic solutions and drive customer success.
- Company: Elastic is a leading Search AI company, empowering businesses with real-time data insights.
- Benefits: Enjoy flexible work schedules, competitive pay, generous vacation days, and health coverage for you and your family.
- Why this job: Make an immediate impact while collaborating with diverse teams and tackling exciting challenges in AI and search.
- Qualifications: 7+ years in consulting or engineering with expertise in Enterprise Search and related technologies required.
- Other info: Embrace a culture of diversity and inclusion, with opportunities for personal growth and community engagement.
The predicted salary is between 48000 - 84000 ÂŁ per year.
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:
You will have the opportunity to work with a tremendous services, engineering, product, and sales team and wear many hats. This is a meaningful role, as a Consulting Architect (Search), you have an outstanding chance to create an immediate impact on the success of Elastic and our customers.
As an Elastic Consulting Architect, you will be working closely with our customers to provide technical solutions for their business use cases with the Elastic Stack (which includes Elasticsearch, Kibana, Logstash and Beats). You will serve as a trusted technical advisor to our customers and help drive the customer’s journey with Elastic by providing technical oversight, ongoing knowledge transfer and enablement. A successful consultant will be focused on excellence, taking the initiative for self-improvement and possess great communication skills.
Our customers’ use cases extend across all the Elastic Solutions: Enterprise Search, Observability and Security, and beyond, and the scale of data in their environments ranges from gigabytes to petabytes. This diverse mix of a customer base means the challenges they face that Elastic consultants help them with can often require problem solving skills and knowledge just as diverse.
Our internal development and mentoring schemes ensure you have access to learn areas across the products and services we provide that you may not previously have had exposure to, in addition to which you will work closely with colleagues across the Professional Services, Engineering, Sales, Customer Success and Support teams to ensure the best experience for our customers along their Elastic journey.
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 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 and exceeding the customer objectives. Work across teams with engineering, product management, and support teams to identify feature improvements, extensions, and product defects. Facilitate feedback from the 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, while also learning from them to accelerate your skills.
What You Bring Along:
- Minimum 7 years as a consultant, engineer or architect who has deep expertise in Enterprise Search concepts and technology, including generative AI technologies. This should include solid experience deploying Elastic Search solutions or similar domains (Solr, Algolia, AWS OpenSearch, Palantir, Unbxd, e-commerce site search engines). You have designed and built custom search experiences for major customers, focussed on achieving and delivering value for their business.
- Experience in solving complex technical search problems in terms of relevancy, scaling, performance fine-tuning, building a platform to handle high query throughputs and indexing throughput, benchmarking clusters to achieve optimal performance.
- Experience leading Enterprise Search 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.
- Excel at working directly with customers to capture, prioritize, plan and implement solutions aligned to customer business requirements as it relates to our technologies.
- Understanding and passion for open-source technology as well as 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:
- Certifications and specialization in Data Science, Data Analytics, Data Engineering, Machine Learning, NLP, Data Infrastructure, analytics
- 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
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Additional Information – We Take Care of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
- Competitive pay based on the work you do here and not your previous salary
- Health coverage for you and your family in many locations
- Ability to craft your calendar with flexible locations and schedules for many roles
- Generous number of vacation days each year
- Increase your impact – We match up to $2000 (or local currency equivalent) for financial donations and service
- Up to 40 hours each year to use toward volunteer projects you love
- Embracing parenthood with minimum of 16 weeks of parental leave
Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.
We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email .We will reply to your request within 24 business hours of submission.
Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster;Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)
Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.
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Principal Consulting Architect - Search employer: Elasticsearch B.V.
Contact Detail:
Elasticsearch B.V. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Consulting Architect - Search
✨Tip Number 1
Familiarise yourself with the Elastic Stack, especially Elasticsearch, Kibana, Logstash, and Beats. Understanding these tools inside out will not only help you in interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Network with current or former employees of Elastic on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of complex technical challenges you've faced in previous roles. Be ready to discuss how you approached these issues and the outcomes.
✨Tip Number 4
Stay updated on the latest trends in AI and search technologies. Being knowledgeable about recent advancements will help you stand out as a candidate who is passionate and informed about the industry.
We think you need these skills to ace Principal Consulting Architect - Search
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Enterprise Search technologies and any relevant projects you've led. Focus on your achievements in deploying Elastic Search solutions or similar technologies, as this will resonate well with the hiring team.
Craft a Compelling Cover Letter: In your cover letter, express your passion for search technologies and AI. Discuss how your background aligns with the role of Consulting Architect and provide specific examples of how you've solved complex technical problems in previous positions.
Showcase Your Soft Skills: Since communication and relationship-building are key aspects of this role, be sure to include examples that demonstrate your ability to advocate for customers and work collaboratively across teams. Highlight any mentoring experiences you have as well.
Prepare for Technical Questions: Anticipate technical questions related to Elasticsearch, data modelling, and performance tuning. Be ready to discuss your hands-on experience with large distributed systems and any relevant programming languages or tools you are proficient in.
How to prepare for a job interview at Elasticsearch B.V.
✨Showcase Your Technical Expertise
As a Principal Consulting Architect, it's crucial to demonstrate your deep understanding of Enterprise Search concepts and technologies. Be prepared to discuss your experience with the Elastic Stack and similar solutions, highlighting specific projects where you've successfully deployed these technologies.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice articulating complex technical concepts in a way that is accessible to non-technical stakeholders. Use examples from your past experiences to illustrate how you've built relationships and advocated for customers.
✨Prepare for Problem-Solving Scenarios
Expect to face questions that assess your problem-solving abilities. Prepare by reviewing common challenges in search technology and think through how you would approach these issues. Be ready to discuss specific instances where you've solved complex technical problems.
✨Demonstrate Your Passion for Learning
Elastic values continuous improvement and learning. Share examples of how you've pursued professional development, whether through certifications, training, or personal projects. This will show your commitment to staying current in the rapidly evolving field of search technology.