Joblaze summary

In the role of Delivery Solutions Architect at Databricks, the individual will focus on driving customer success by leading technical strategies and ensuring effective onboarding of the Databricks platform for complex accounts. Key skills include programming in Python, SQL, or Scala, along with a strong background in data and AI project delivery. This position is suited for seasoned professionals with extensive experience in customer-facing technical roles and a proven track record in managing complex projects. The role also emphasizes collaboration with various internal teams to enhance product adoption and customer engagement.

Joblaze insights

Listed about 2 months ago — first seen on Joblaze August 27, 2026. Last confirmed on Databricks's careers page October 31, 2026.
This exact title is also open at 2 other locations at Databricks: Zürich, Switzerland, Singapore.

Quick facts

Is the Sr. Delivery Solutions Architect role remote?: It's hybrid — Databricks expects some on-site time in Tokyo, Japan.
How much experience is required?: At least 8 years of relevant experience for this Sr. Delivery Solutions Architect role.
Where is the role based?: Databricks is hiring for this position in Tokyo, Japan.
What's the tech stack?: Joblaze extracted these technologies from the posting: Python, SQL, Scala.
What seniority level is this role?: Databricks targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Sr. Delivery Solutions Architect role at Databricks.

From the original posting

Req: CSQ327R249
Location: Tokyo, Japan

At Databricks, we are on a mission to empower our customers to solve the world's toughest data and AI problems by utilizing the Databricks Data Intelligence Platform. As a Sr. Delivery Solutions Architect, you will partner with Sales, Solutions Architecture, and Field Engineering to accelerate the adoption, growth, and strategic impact of Databricks with our most complex customers. You will serve as a senior technical advisor, helping customers design, implement, scale, and optimize complex data and AI solutions across business units, geographies, and product areas.

This is a highly technical and strategic customer-facing role. You will define technical execution strategies for high-value accounts, drive architectural alignment across complex use cases, and orchestrate Databricks, customer, and partner teams to deliver measurable outcomes. You will build trusted relationships with senior technical and executive stakeholders while contributing expertise, frameworks, and best practices that scale beyond individual customer engagements.

The Impact You Will Have

Define technical execution strategy across high-value, complex customer accounts spanning multiple use cases, business units, geographies, or product areas
Serve as a senior technical advisor to customer architects, technical leaders, and Director/VP-level stakeholders
Design and influence secure, governed, scalable architectures while balancing performance, cost, reliability, and long-term platform strategy
Orchestrate Databricks, customer, and implementation partner teams to align technical execution and accelerate strategic outcomes
Anticipate platform maturity and scaling needs and establish technical standards for security, governance, developer experience, and operational excellence
Drive adoption, consumption, and measurable business outcomes through technical strategy and execution
Lead complex technical escalations spanning multiple systems, teams, or workloads
Build reusable technical frameworks, solutions, and assets that scale across customers, teams, or regions
Mentor DSAs and contribute to technical enablement, specialization, and thought leadership

What We Look For

8+ years in solutions architecture, technical consulting, professional services, data engineering, or a related senior technical role
Demonstrated experience leading technical strategy and architecture for high-value or highly complex customer environments
Experience navigating complex programs across multiple business units, product areas, geographies, or technical workstreams
Deep expertise in one or more Data and AI domains, with strong knowledge of distributed data systems and cloud architectures
Strong coding proficiency in Python, SQL, Scala, or similar languages
Experience designing secure, governed, scalable, and production-ready architectures across cloud and enterprise environments
Ability to solve complex technical problems using first-principles thinking, structured analysis, and technical experimentation
Demonstrated ability to influence senior technical stakeholders and executive audiences and de-escalate complex customer situations
Strong cross-functional leadership and stakeholder management skills, with the ability to orchestrate teams without formal authority
Track record of driving customer adoption, consumption, and measurable business outcomes through technical leadership
Experience creating reusable technical frameworks, assets, or programs that extend impact beyond individual customer engagements
Bachelor's degree in Computer Science, Engineering, or equivalent experience
Full professional proficiency in Japanese is mandatory

Nice to Have

Databricks experience or certification
Recognized expertise in a Data and AI specialization or competitive technology
Experience influencing product direction through structured customer feedback
External technical thought leadership through blogs, conferences, summits, seminars, or industry events
Experience mentoring technical talent or leading enablement across teams or regions
business-level English proficiency is preferred

Interview Process: Recruiter Screen → Hiring Manager Screen → Design & Architecture → Vibe Coding → Build, Demo & Pitch → Reference Check

Travel: Up to 30% as needed

About Databricks

Benefits

Standard company text repeated across Databricks's postings is omitted here.

Sr. Delivery Solutions Architect

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