Summary
Join StarTree's growing sales team as a Solutions Architect and become a technical partner to the sales team. You will be responsible for technical leadership in sales opportunities, executing Proofs of Concept, providing post-sales support, and evangelizing best practices. This role requires experience in pre/post-sales or customer-facing roles, big data technologies, and distributed software applications. You will collaborate with various teams, providing customer feedback and creating case studies. StarTree offers a fast-paced, dynamic environment with the opportunity to make a direct impact. The company is well-funded and has significant customer traction.
Requirements
- 2-4 years of experience in Pre/Post-Sales or Customer facing roles
- Experience with distributed software applications architectures
- Experience developing or using open-source technologies
- Excellent communication, presentation, and demonstration skills, as well as a good understanding of the sales and post sales processes
- Strong problem solving and troubleshooting skills
- Strong grasp of cloud infrastructure patterns and services in at least one of the three pubic clouds - Amazon AWS, Google Cloud, Microsoft Azure
- Good understanding of OLAP technologies as well as SQL
Responsibilities
- Provide technical leadership in sales opportunities with existing customers and prospects
- Research customerβs key requirements and execute Proof of Concepts
- Help customers in post sales implementations and support them through their use of the StarTree service
- Evangelize best practices, architecture patterns, and use cases internally and externally
- Advance expertise and technical excellence in Apache Pinot
- Collaborate with Product and Engineering teams by providing customer feedback to help shape the product roadmap
- Liaison with Marketing to help build customer case studies and reference materials
Preferred Qualifications
- Experience with big data technologies such as Spark, Hadoop and Presto
- Certification in Solutions Architecture in one or more of the three public clouds - Amazon AWS, Google Cloud, Microsoft Azure
- Masters degree in Computer Science with a major in Data related field (Data Science, Data Engineering, or Data Analytics)
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