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 within Digital Native customers. 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

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