The Delivery Solutions Architect (DSA) at Databricks is a technical and customer-facing role focused on architecture, technical strategy, and customer outcomes. The DSA will partner with Sales, Solutions Architecture, and Field Engineering to drive the adoption and growth of the Databricks platform. This position involves influencing technical execution across complex use cases and guiding architectural decisions to deliver measurable business value. The DSA will serve as a trusted advisor to customers, helping them design, implement, and optimize data and AI solutions.

• 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, Scala, or similar languages.
• 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 and validate solutions through structured analysis or experimentation.
• Experience leading architecture discussions with technical leads and senior customer stakeholders.
• Strong understanding of platform operational excellence, including security, governance, performance, reliability, and cost optimization.
• Demonstrated ability to drive customer adoption and measurable business outcomes through technical leadership.
• Strong stakeholder management and cross-functional leadership skills.
• Bachelor's degree in Computer Science, Engineering, or equivalent experience.

• 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.
• 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.
• Anticipate platform maturity and scaling needs and establish best practices for security and governance.
• Drive adoption and consumption by influencing architecture and connecting technical execution to business outcomes.
• Partner across Databricks, customer, and implementation teams to align resources and manage risks.
• Mentor peers and contribute reusable technical guidance and frameworks across the organization.