Delivery Solutions Architect

Databricks
Tokyo
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsSkills: ["Stakeholder management","Executive communication","Technical leadership","Discovery facilitation","Strategic planning"]

Serve as the post-sale technical lead for strategic Databricks customers, driving growth through executive relationships and coordinated plans across sales, field engineering, and specialized teams. Lead technical account strategy and execution for prioritized use cases, ensure onboarding to go-live and healthy consumption, and resolve production and technical escalation. Use technical credibility to accelerate data and AI workloads into production, deliver roadmap/discovery outcomes, and provide KPI reporting on customer health and adoption.

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FursaFursa
Databricks
Databricks
1 day ago

Delivery Solutions Architect

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Serve as the post-sale technical lead for strategic Databricks customers, driving growth through executive relationships and coordinated plans across sales, field engineering, and specialized teams. Lead technical account strategy and execution for prioritized use cases, ensure onboarding to go-live and healthy consumption, and resolve production and technical escalation. Use technical credibility to accelerate data and AI workloads into production, deliver roadmap/discovery outcomes, and provide KPI reporting on customer health and adoption.
Location: Tokyo
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop the post-technical win strategy and execution plan for major Databricks use cases in strategic accounts.
  • •Act as the accountable technical leader for specific use cases and customers across selling teams, driving onboarding, enablement, go-live, and healthy consumption.
  • •Serve as the first contact for technical issues and questions related to production/go-live status for agreed use cases.
  • •Coordinate internal resources (shared services, user education, onboarding/technical services and support) and escalate to technical experts as needed.
  • •Create and execute point-of-view roadmaps, coordinating with professional services on delivery proposals, and provide internal/external KPI reporting on customer health and adoption progress.

Key Requirements

  • •8+ years of experience delivering technical projects/programs in the Data and AI domain, with the ability to contribute to technical debate and design choices.
  • •Programming experience in Python, SQL, or Scala.
  • •Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role.
  • •Understanding of solution architecture for distributed data systems and how to link deliverables to business value/outcomes.
  • •Experience managing complex escalations and running discovery workshops to create strategic roadmaps and business analysis.
Experience:8+ yearsData & AI
Skills:Stakeholder managementExecutive communicationTechnical leadershipDiscovery facilitationStrategic planning
Languages:JapaneseEnglish
Tech Stack:PythonSQLScalaLakehouseUnity Catalog

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