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
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.