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Delivery Solutions Architect


CSQ427R260 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. This is a technical and customer-facing role focused on architecture, technical strategy, and customer outcomes. You will influence technical execution across complex use cases, guide architectural decisions, and align Databricks, customer, and partner teams from technical win through production and adoption. The Impact You Will Have Define and influence technical execution strategies across complex use cases and multiple workstreams within strategic accountsServe as a trusted technical advisor to customer technical leads and architects, leading architecture discussions and guiding technical decisionsDesign secure, governed, and scalable Databricks architectures while balancing performance, cost, reliability, and long-term needsBuild and demonstrate working solutions, prototypes, and reusable technical assets that accelerate customer outcomesAnticipate platform maturity and scaling needs and establish best practices for security, governance, and operational excellenceDrive adoption and consumption by influencing architecture, unblocking delivery, and connecting technical execution to business outcomesPartner across Databricks, customer, and implementation teams to align resources, manage risks, and accelerate deliveryMentor peers and contribute reusable technical guidance, frameworks, and enablement across the organization What We Look For 5+ years in solutions architecture, solutions engineering, technical consulting, professional services, data engineering, or a related technical roleExperience in influencing technical strategy and architecture across complex customer use cases or multiple workstreamsStrong coding proficiency in Python, SQL, Scala, or similar languages, with the ability to build, debug, and validate technical solutionsDeep understanding of distributed data systems, data engineering, analytics, data warehousing, AI/ML, and modern cloud architecturesExperience designing secure, governed, scalable, and production-ready data solutionsAbility to solve ambiguous technical problems, evaluate trade-offs, and validate solutions through structured analysis or experimentationExperience leading architecture discussions with technical leads, architects, and senior customer stakeholdersStrong understanding of platform operational excellence, including security, governance, performance, reliability, and cost optimizationDemonstrated ability to drive customer adoption, consumption, and measurable business outcomes through technical leadershipStrong stakeholder management and cross-functional leadership skills, with the ability to align teams without formal authorityBachelor's degree in Computer Science, Engineering, or equivalent experience Nice to Have Databricks experience or certificationDeveloping expertise in a technical specialization such as AI/ML, data engineering, streaming, data warehousing, governance, or migrationsExperience with AWS, Azure, or GCP and production cloud deploymentsExperience creating reusable technical frameworks, demos, or enablement that scale across teams Travel: Up to 30% as needed #J-18808-Ljbffr

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