Databricks

Databricks

Posted via Greenhouse

Delivery Solutions Architect

Posted Aug 5, 2026

Role at a glance

Salary
Not Disclosed
Location
Japan - Tokyo
Work arrangement
Hybrid
Employment
Full-time
Experience
8+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI

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Role Summary

AI-generated

The Delivery Solutions Architect leads post-sale technical strategy and execution for Databricks use cases in strategic customer accounts in Japan. The role partners with sales, field engineering, services, support, and product teams to move workloads into production, increase adoption, and support healthy consumption of the Databricks platform.

What You'll Do

  • Lead technical account strategies and execution plans for Databricks use cases
  • Drive onboarding, enablement, success, go-live, and healthy consumption of customer workloads
  • Act as the first contact for technical issues or questions related to production and go-live status
  • Coordinate Shared Services, User Education, Onboarding/Technical Services, Support, and expert technical resources
  • Create and execute plans to accelerate key use cases into production and coordinate Professional Services proposals
  • Navigate Product and Engineering teams for New Product Innovations, Private Previews, and upgrades

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Requires 8+ years of Data and AI technical project or program delivery experience, programming experience in Python, SQL or Scala, customer-facing technical experience, distributed data systems architecture knowledge, and full professional proficiency in Japanese.

Required

  • 8+ years of experience in technical project / program delivery within Data and AI
  • 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 related distributed data systems
  • Understanding of how to attribute business value and outcomes to specific project deliverables
  • Technical program or project management including account, stakeholder and resource management accountability
  • Experience resolving complex and important escalation with senior customer executives
  • Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of...

Preferred

  • Business-level English proficiency

Original job description

Content provided by the employer

Req ID: CSQ327R31
Location: Tokyo, Japan

At Databricks we are on a mission to empower our customers to solve the world's toughest data problems by utilising the Intelligence platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. As a DSA, you will help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on invesment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a Field Engineering Director in Japan

The impact you will have:

  • You will engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritised 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. 
  • You will be 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 the below work streams:
    • 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 Eg. 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.

What we look for:

  • 8+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with our customers.
  • 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 related distributed data systems
  • A understanding of how to attribute business value and outcomes to specific project deliverables
  • Technical program, or project management including account, stakeholder and resource management accountability
  • Experience resolving complex and important escalation with senior customer executives
  • Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
  • Track record of overachievement against quota, Goals or similar objective targets
  • Full professional proficiency in Japanese is mandatory; business-level English proficiency is preferred.

About Databricks

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.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Databricks

About the company

Databricks

Large Enterprise

Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.