Solutions Architect

We're looking to hire a Solutions Architect to engage with Imply customers to guide them through the architecture, development, and operations of the Imply product and the open-source Druid data store. We're a small team with a quickly growing customer base, so you'll have a chance to have a big impact and wear multiple hats. Ideally you have worked in a customer-facing role, intrigued by cutting-edge technical challenges and help refine some of the largest and fastest big data architectures in the world. This is a direct customer engagement role and will require some travel.

What you'll be doing at Imply

  • You are the key player in the implementation and growth of our customer base
  • You will be helping drive our implementations, and you'll do what it takes to help make them successful
  • You will lead on-site and online services engagements
  • You will be an expert in Druid and a technical evangelist for Imply
  • You will play a key role in helping the company find and implement new and additional use cases
  • You serve as a liaison to our engineering and product teams on customer requests and user experience.
  • You will act as another layer of support for our customers by triaging and helping support our customers, as needed.

Required experiences and skills

  • Bachelor's Degree in computer science or related field
  • A team player mentality - we will succeed only as a strong team
  • Be defined by your “Helper Gene”, Do you thrive in helping others achieve success?
  • Excellent written and verbal communication skills
  • Strong problem solving and troubleshooting fundamentals
  • Experience in analyzing system, network, and application log files and system performance metrics to diagnose and troubleshoot problems

Required experiences and skills

  • Experience in defining and executing enterprise implementation plans, You are comfortable leading complex technical conversations with the world's largest brands 
  • Excellent communication, presentation and demonstration skills and a good understanding of services and post-sales processes
  • Knowledge and experience with big data architecture on-premise and in cloud environments like AWS
  • Experience with streaming platforms such as Kafka and Kinesis
  • Time spent building, administering Hadoop environments
  • JVM operations experience: you eat garbage collection tuning configs for breakfast
  • You know your way around a Linux system and are comfortable with built-in tools like top, iostat, lsof, and netstat
  • Experience with Druid or related big data systems like Elasticsearch, InfluxDB, Pinot

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