ソリューションアーキテクト (プリセールス)

Databricks Databricks · Data AI · Tokyo, Japan · Field Engineering - Other

Pre-sales Solutions Architect role at Databricks, focusing on data, AI, and big data solutions on public clouds. The role involves guiding technical evaluation phases, acting as a technical advisor to the sales team, and collaborating with product teams to help customers achieve data-driven outcomes using the Databricks Data Intelligence Platform. Responsibilities include creating reference architectures, migration plans, and demo applications, integrating Databricks with third-party applications, leading workshops, and engaging with the technical community. Requires experience in pre-sales or post-sales with external clients, public cloud architecture design, and basic technical understanding of data, ML/AI, and SQL.

What you'd actually do

  1. You will lead the technical evaluation phase in a hands-on environment throughout the entire sales process.
  2. You will be the technical advisor to the sales team and work with product teams to realize customer requirements in the field.
  3. You will help customers achieve concrete data-driven outcomes using the Databricks Data Intelligence Platform, and help data teams complete their projects and integrate our platform into their enterprise ecosystem.
  4. You will propose solutions to customers alongside the sales team while finding solutions to customers' biggest challenges in big data, analytics, data engineering, and data science.
  5. You will engage with the technical community by leading workshops, seminars, and meetups.

Skills

Required

  • Pre-sales or post-sales experience engaging with external clients across various industries
  • Experience demonstrating technical concepts, presenting, and using whiteboards
  • Experience with architecture design and implementation within public clouds (AWS, Azure, GCP)
  • Experience working with enterprise accounts
  • Fluent communication in Japanese and business-level reading/writing in English
  • Basic technical understanding of data, or machine learning/AI domain, and SQL coding skills

Nice to have

  • Understanding of customer-facing pre-sales or consulting roles in data engineering or data science
  • Experience with big data technologies such as Apache Spark™, AI, data science, data engineering, Hadoop, Cassandra
  • Fluent coding experience with Apache Spark using Python, Scala, Java, or R
  • Development experience in data domain or machine learning/AI domain, especially coding experience with Python (Pandas, NumPy, etc.)

What the JD emphasized

  • pre-sales experience
  • technical concepts
  • architecture design and implementation
  • enterprise accounts
  • basic technical understanding of data, or machine learning/AI domain, and SQL coding skills