Consulting Architect, Elasticsearch

$133,100 - $210,600/Yr

Elastic - Detroit, MI

Full-time - Mid Level

Detroit, MI

Professional, Scientific, and Technical Services

About the position

The Consulting Architect, Elasticsearch role at Elastic involves delivering Elastic solutions and expertise to drive customer business value. This position requires strong customer advocacy, relationship building, and communication skills, as well as the ability to work remotely within a distributed team. The role focuses on facilitating strategy and design workshops, developing demos, and managing project objectives to ensure successful engagements with clients.

Responsibilities

• Deliver Elastic solutions and elastic stack expertise to drive customer business value from our products
• Facilitate strategy, roadmap, design, and capacity planning in mission-critical environments workshops
• Develop demos and proof-of-concepts that highlight the value of the Elastic Stack and Solutions
• Adapt and accelerate Elastic solutions along with data modeling, query development, and optimization
• Drive and manage project objectives, requirements gathering, project tasks, and timelines
• Work closely with engineering, product management, and support teams to identify feature improvements and product defects
• Engage with the Elastic Sales team to scope opportunities and assess technical risks.

Requirements

• Bachelor's, Master's or PhD in Computer Science or related engineering discipline preferred
• Minimum 3 years as a Search Engineer or Search Architect
• Experience in Elasticsearch, Vector and GenAI preferred
• Deep knowledge of E-Commerce search solutions
• Experience with query development and relevancy tuning
• Knowledge of implementing and fine tuning of Natural Language Processing (NLP) use cases
• Understanding of open source machine learning frameworks such as PyTorch
• Experience working as a consultant on professional services engagements
• Public speaking experience to large audiences on enterprise infrastructure software technology
• Hands-on experience and understanding of Elasticsearch and/or Lucene
• Strong experience with large distributed systems and application infrastructure from an architecture perspective
• Knowledge of information retrieval and/or analytics domain
• Understanding and/or certification in technologies like Kubernetes, Linux, Java, Docker, AWS, Azure, GCP, Kafka, Redis, Lucene.

Nice-to-haves

• Understanding and passion for open-source technology
• Proficiency in at least one programming language

Benefits

• Company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings
• Participation in Elastic's stock program
• Holistic emphasis on employee well-being