ソリューションアーキテクト (プリセールス)

Databricks
Tokyo
Workplace: OnsiteFull-timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Python","SQL","Spark","Databricks","AWS","Azure","Google Cloud","Data Warehousing","Pre-sales","Demos","POC","Collaboration"]

Senior Solutions Architect for the Databricks Data Intelligence Platform in the Utilities/Energy vertical. Lead pre-sales engagements with complex customers in Japan, design tailored data analytics and lakehouse solutions, and drive adoption with cross-functional teams. Prototyping demos, crafting Proofs-of-Concept, and coaching account teams to align technical outcomes with business value. Travel up to 30-40%, fluent in Japanese, English a plus.

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FursaFursa
Databricks
Databricks
2 months ago

ソリューションアーキテクト (プリセールス)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Senior Solutions Architect for the Databricks Data Intelligence Platform in the Utilities/Energy vertical. Lead pre-sales engagements with complex customers in Japan, design tailored data analytics and lakehouse solutions, and drive adoption with cross-functional teams. Prototyping demos, crafting Proofs-of-Concept, and coaching account teams to align technical outcomes with business value. Travel up to 30-40%, fluent in Japanese, English a plus.
Location: Tokyo
Workplace: Onsite
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Engage with complex customers and guide them through adoption of the Databricks Lakehouse platform in a pre-sales capacity.
  • •Develop and execute customer engagement strategies in partnership with Account Executives and Solutions Architects.
  • •Coach core account teams on positioning, adoption strategies, and execution to achieve defined timelines.
  • •Influence stakeholders across levels and orchestrate teams to achieve long-term customer success in cloud environments.
  • •Lead workshops, seminars, and meet-ups; contribute to customer-facing collateral and demonstrations.
Travel: Low travel

Key Requirements

  • •Technical background in Data Engineering or Data Warehousing (DWH) or Machine Learning/AI
  • •Experience coding in Python or SQL and willingness to learn Spark
  • •Hands-on experience with complex proofs-of-concept and public cloud platforms (AWS, Azure, Google)
  • •Ability to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity
  • •Nice to have: Databricks Certification
Experience:Data analyticsCloud computingEnterprise software
Skills:PythonSQLSparkDatabricksAWSAzureGoogle CloudData WarehousingPre-salesDemosPOCCollaboration
Certifications:Databricks Certification
Languages:JapaneseEnglish
Tech Stack:PythonSQLSparkAWSAzureGoogle CloudDatabricks

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn