Senior Solutions Architect JB33204003

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  Senior Solutions Architect JB33204003

  A company with a mission to turn cost-effective cl

  • Center
  • Full Time

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  • Location: Center
  • Type: Full Time

  Job Description:

  A company with a mission to turn cost-effective cloud data lakes into easy-to-use repositories for all data practitioners, by eliminating the lake’s notorious engineering complexity. Upsolver cuts 95% from the tedious process of preparing event data for analytics and machine learning, using a visual SQL-based interface, a cloud-native data platform, and deep technology for stream-processing, indexing, and eventually-consistent file systems.

  They are looking for a Senior Sales Architect to drive customer satisfaction with a solution-based approach and deep technical expertise in streaming, big data, and cloud. A successful Sales Engineer is curious, self-motivated, and excels in cross-functional collaboration. The goal is to understand customer needs and challenges around streaming data and become a trusted valuable advisor. We are looking for a trusted adviser to our customers and prospects, who will spread the word of how to use Upsolver’s product

  Job Responsibilities:

  - Engage with prospects and customers through initial sales meetings, Product demos, POCs, on-boarding, and day-to-day use of the platform.
  - Tailor big data solutions using the product, streaming platforms like Apache Kafka, and complimentary cloud platforms like Athena, Redshift etc..
  - Address competitive analysis inquiries.
  - Build content for blogs, documentation, videos, and any other assets that explains how to use the Upsolver platform to solve real-world use cases.

  Job Requirements:

  • Computer Science degree or 3+ years in an engineering position.
  • 3+ years of experience in database table modeling and/or transformation-heavy data pipelines.
  • Deep experience in SQL/DB practices or background as a DBA - preferred.
  • Experience with modern databases and query engines (Presto, Spark, Redshift, Snowflake, BigQuery) - preferred.
  • Deep experience in big data and ideally the data engineering space is required. Strong knowledge of Hadoop, Spark or NoSQL.
  • Experience with AWS, Azure, or GCP - preferred.
  • 2+ years of experience addressing customers’ needs in a pre-sales position with a high-velocity sales organization – preferred.
  • Proven track record to run high-velocity activity, you are able to context switch easily, thrive when multitasking, fast pace is what you prefer.
  • Comfortable with talking up and down the IT chain of command including directors, managers, architects, analysts and developers.
  • Familiarity with a full range of data engineering approaches, covering theoretical best practices and the technical applications of these methods.
  • Work in a lean, highly collaborative team with a focus on getting things done.

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