Delivery Solutions ArchitectDatabricks · Tokyo, Japan
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Databricks

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Delivery Solutions Architect

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🗓️ Posted 2026-08-26 Tokyo, Japan Hybrid ICT
💰 Salary Not shared 📊 Market ₹800,000–₹1,500,000/mo

About the Company

At Databricks we are on a mission to empower our customers to solve the world's toughest data problems by utilising the Intelligence platform.

Responsibilities

  • ● Engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritized customers.
  • ● Lead the Post-Technical Win technical account strategy and execution plan for the majority of Databricks Use Cases within our most strategic accounts.
  • ● Be the accountable technical leader assigned to specific Use Cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks.
  • ● Act as the first contact for any technical issues or questions related to production/go live status of agreed upon Use Cases within an account, oftentimes services multiple use cases within the largest and most complex organizations.
  • ● Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise.
  • ● Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services resources on the delivery of PS Engagement proposals.
  • ● Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs.
  • ● Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover work streams including: Main use cases moving from 'win' to production, Enablement / user growth plan, Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision), Organic needs for current investment (e.g. Cloud Cost control, Tuning & Optimization), Executive and operational governance.
  • ● Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM.