Delivery Solutions Architect - Digital Native Business

The role

You will partner with Sales, Solutions Architecture, and Field Engineering to accelerate adoption and growth of the Databricks Platform. You will serve as a technical advisor to help customers design, implement, scale, and optimize data and AI solutions.

What you will do

• Define and influence technical execution strategies across complex use cases and multiple workstreams
• Serve as a trusted technical advisor to customer technical leads and architects
• Design secure, governed, and scalable Databricks architectures
• Build and demonstrate working solutions, prototypes, and reusable technical assets
• Anticipate platform maturity and scaling needs and establish best practices
• Drive adoption and consumption by influencing architecture and unblocking delivery
• Partner across Databricks, customer, and implementation teams to align resources
• Mentor peers and contribute reusable technical guidance, frameworks, and enablement

Required qualifications

• 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, evaluate trade-offs, and validate solutions
• 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
• 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

Benefits

• Annual performance bonus
• Equity

Before you apply

• Recruiter Screen
• Hiring Manager Screen
• Design & Architecture
• Live Coding
• Build, Demo & Pitch

About the company

Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.