Description
As a Pre-sales Solutions Architect (Analytics, AI, Big Data, Public Cloud) – Kansai Region, your mission will be to drive successful technical evaluations and solution designs for some of our focus customers in the Kansai region (Osaka/Kyoto) for Databricks Japan.
You are passionate about data and AI, love getting hands-on with technology, and enjoy communicating its value to both technical and non-technical stakeholders.
Partnering closely with Account Executives, you will lead the technical discovery, architecture design, and proof-of-concept phases, and act as a trusted advisor to our customers on their data and AI strategy.
You will help customers realise tangible, data-driven outcomes on the Databricks Lakehouse Platform by guiding data and AI teams to design, build, and operationalise solutions within their enterprise ecosystem.
You will also be a key technical voice back into our product and field teams, championing customer needs from the Kansai market.
The impact you will have:
- You will be a Big Data Analytics expert on aspects of architecture and design
- Lead your prospects through evaluating and adopting Databricks
- Support your customers by authoring reference architectures, how-tos, and demo applications
- Integrate Databricks 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
What we look for:
- 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 Apache Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
- Fluent coding experience in Python or Scala implementing Apache Spark, Java and R is also desirable
- Experience working with Enterprise Accounts
- Written and verbal fluency in Japanese