As a Pre－sales Solutions Architect （Analytics, AI, Big Data, Public Cloud）, you will guide the technical evaluation phase in a hands－on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data－driven outcomes through the use of our platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You’ll grow as a leader in your field, while finding solutions to our customers’ biggest challenges in big data, analytics, data engineering and data science problems. You will report to the Solutions Architect Manager.
You will be a Big Data Analytics expert on aspects of architecture and design
Lead your prospects through evaluating and adopting our technologies.
Support your customers by developing reference architectures, how－to, and demo applications
Integrate our platform with 3rd－party applications to support customer architectures
Engage with the technical community by leading workshops, seminars and meet－ups
Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value
【必須（MUST）】Pre－sales or post－sales experience working with external clients across a variety of industry markets
Understanding of customer－facing pre－sales or consulting role with a core strength in either Data Engineering or Data Science advantageous
Experience demonstrating technical concepts, including presenting and whiteboarding
Experience designing and implementing architectures within public clouds （AWS, Azure or GCP）
Experience with Big Data technologies, including Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.
Fluent coding experience in Python or Scala implementing Spark, Java and R is also desirable
Experience working with Enterprise Accounts
Written and verbal fluency in both English and Japanese