Delivery Solutions Architect

As a Delivery Solutions Architect (DSA) at Databricks, 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 optimise data and AI solutions that deliver measurable business value.

This is a technical and customer-facing role focused on architecture, technical strategy, and customer outcomes.

The Impact You Will Have

• 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 organisation

What We Look For

• 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 optimisation
• 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

Nice to Have

• Databricks experience or certification
• Developing expertise in a technical specialisation 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