Delivery Solutions Architect
Databricks · Tokyo, Japan · Delivery Solutions Architects · listed September 16, 2026
The shape of it
Seniority
Principal
Where
Not stated
Requirements listed
12
Length
754 words
In the posting’s own words
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 Delivery Solutions Architect (DSA), you will partner with Sales, Solutions Architecture, and Field Engineering to accelerate adoption and growth of the Databricks platform. You will serve as a trusted technical advisor, helping customers design, implement, scale, and optimize data and AI solutions that deliver measurable business value.
What it asks for · 12
- 5+ years in solutions architecture, solutions engineering, technical consulting, professional services, data engineering, or a related technical role
- Experience in influencing technical strategy and architecture across complex customer use cases or multiple workstreams
- Strong coding proficiency in Python, SQL, or similar languages, with the ability to build, debug, and validate technical solutions
- Deep understanding of distributed data systems, data engineering, analytics, data warehousing, AI/ML, and modern cloud architectures
- Experience designing secure, governed, scalable, and production-ready data solutions
- Ability to solve ambiguous technical problems, evaluate trade-offs, and validate solutions through structured analysis or experimentation
- Experience leading architecture discussions with technical leads, architects, and senior customer stakeholders
- Strong understanding of platform operational excellence, including security, governance, performance, reliability, and cost optimization
- Demonstrated ability to drive customer adoption, consumption, and measurable business outcomes through technical leadership
- Strong stakeholder management and cross-functional leadership skills, with the ability to align teams without formal authority
- Bachelor's degree in Computer Science, Engineering, or equivalent experience
- Full professional proficiency in Japanese is mandatory
Also a plus
- Databricks experience or certification
- Developing expertise in a technical specialization such as AI/ML, data engineering, streaming, data warehousing, governance, or migrations
- Experience with AWS, Azure, or GCP and production cloud deployments
- Experience creating reusable technical frameworks, demos, or enablement that scale across teams
- Business-level English proficiency is preferred.
What the job covers
- Define and influence technical execution strategies across complex use cases and multiple workstreams within strategic accounts
- Serve as a trusted technical advisor to customer technical leads and architects, leading architecture discussions and guiding technical decisions
- Design secure, governed, and scalable Databricks architectures while balancing performance, cost, reliability, and long-term needs
- Build and demonstrate working solutions, prototypes, and reusable technical assets that accelerate customer outcomes
- Anticipate platform maturity and scaling needs and establish best practices for security, governance, and operational excellence
- Drive adoption and consumption by influencing architecture, unblocking delivery, and connecting technical execution to business outcomes
- Partner across Databricks, customer, and implementation teams to align resources, manage risks, and accelerate delivery
- Mentor peers and contribute reusable technical guidance, frameworks, and enablement across the organization
Degree language
- Bachelor's degree in Computer Science, Engineering, or equivalent experience
Tools and skills named
Data
- Databricks7×
- Data warehouse2×
- Experimentation
Cloud & infra
- AWS
- Azure
- GCP
Go to market
- Solutions architecture3×
Languages
- Python
- SQL
Models & research
- Machine learning2×
Security & compliance
- Security2×
Operations & finance
- Stakeholder management
Ways of working
- Cross-functional
Words the posting leans on
- technical21×
- architecture10×
- customer10×
- data10×
- solutions9×
- experience7×
- engineering6×
- adoption4×
- delivery4×
- outcomes4×
- platform4×
- accelerate3×
- align3×
- architects3×
- build3×
- cases3×
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