4 months ago

Delivery Solutions Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Delivery Solutions Architect leads post-sale technical engagement with key customers to accelerate Databricks adoption, combining deep data/AI expertise with sales-aligned strategy. You’ll coordinate with Field Engineering, Professional Services, and other teams to drive production use cases, enable customer success, and present KPI-backed updates to the Technical GM across large, complex accounts in Japan.

Location: Tokyo

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•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.
•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.

Key Requirements

•8+ years of experience accountable for technical project / program delivery within the domain of 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
•Technical program, or project management including account, stakeholder and resource management accountability

Experience:8+ yearsDataAiEnterprise software

Skills:CommunicationStakeholder managementLeadershipProblem-solvingNegotiation

Languages:English

Tech Stack:PythonSQLScalaDatabricks

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

Website LinkedIn

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Databricks

4 months ago

Delivery Solutions Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Tokyo

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•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.
•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.

Key Requirements

•8+ years of experience accountable for technical project / program delivery within the domain of 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
•Technical program, or project management including account, stakeholder and resource management accountability

Experience:8+ yearsDataAiEnterprise software

Skills:CommunicationStakeholder managementLeadershipProblem-solvingNegotiation

Languages:English

Tech Stack:PythonSQLScalaDatabricks

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

Website LinkedIn