Solutions Architect (Pre-sales) - Kansai Region

Databricks
Osaka, Kyoto
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Communication","Stakeholder management","Technical presentation","Whiteboarding","Customer advisory"]

Drive technical discovery, architecture design, and proof-of-concept work for Databricks with focus customers across the Kansai region (Osaka/Kyoto). Partner with Account Executives to lead evaluations, present technical concepts, and author reference architectures, how-tos, and demo applications. Integrate Databricks with third-party systems to support enterprise ecosystems, and provide feedback to product and field teams while engaging the local technical community.

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FursaFursa
Databricks
Databricks
2 months ago

Solutions Architect (Pre-sales) - Kansai Region

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Drive technical discovery, architecture design, and proof-of-concept work for Databricks with focus customers across the Kansai region (Osaka/Kyoto). Partner with Account Executives to lead evaluations, present technical concepts, and author reference architectures, how-tos, and demo applications. Integrate Databricks with third-party systems to support enterprise ecosystems, and provide feedback to product and field teams while engaging the local technical community.
Location: Osaka, Kyoto
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Lead technical discovery, architecture design, and proof-of-concept phases with customers in the Kansai territory
  • •Guide prospects through evaluating and adopting Databricks and deliver technical evaluations
  • •Author reference architectures, how-tos, and demo applications to support customer success
  • •Integrate Databricks with third-party applications to fit customer enterprise ecosystems
  • •Engage with the technical community through workshops, seminars, and meet-ups

Key Requirements

  • •Pre-sales or post-sales experience working with external clients across multiple industry markets
  • •Customer-facing pre-sales/consulting experience with strength in Data Engineering or Data Science
  • •Experience demonstrating technical concepts, including presenting and whiteboarding
  • •Experience designing and implementing architectures within public clouds (AWS, Azure, or GCP)
  • •Fluent written and verbal communication in Japanese
Experience:Big dataData engineeringData sciencePublic cloud
Skills:CommunicationStakeholder managementTechnical presentationWhiteboardingCustomer advisory
Languages:Japanese
Tech Stack:Databricks Lakehouse PlatformApache SparkDelta LakeMLflowAWSAzureGCPHadoopCassandraPythonScalaJavaR3rd-party applications

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