Delivery Solutions Architect - Digital Native Business
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 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
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, Scala, 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
Nice to Have
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
Interview Process: Recruiter Screen → Hiring Manager Screen → Design & Architecture → Live Coding → Build, Demo & Pitch → Reference Check
Travel: Up to 30% as needed
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$180,000—$247,500 USD