Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
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
Задачи
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
Req ID: FEQ227R81
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 realize tangible, data‑driven outcomes on the Databricks Lakehouse Platform by guiding data and AI teams to design, build, and operationalize 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
You will report to the Manager of Field Engineering
Требования
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
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
Условия
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
Location : Osaka, Japan
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greenhouseОсновная публикация · 2026-07-11
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