Delivery Solutions Architect – Data & AI Platform Lead

Databricks Inc.; Northern (KY); Hybrid; USD 180,000 - 248,000; Full time

Job summary

Databricks Inc. in the United States seeks a Delivery Solutions Architect to partner with Sales and Field Engineering to accelerate adoption of the Databricks platform.

You will design secure, scalable data and AI solutions and guide customers from architectural win to production. You will lead architecture discussions, influence technical decisions, and mentor teams while balancing performance, cost, and governance.

Qualifications

• 5+ years in solutions architecture or related technical role.
• Experience influencing technical strategy and architecture across complex use cases.
• Strong coding proficiency in Python, SQL, Scala or similar languages.
• Deep understanding of distributed data systems, data engineering, analytics, AI/ML, and modern cloud architectures.
• Bachelor's degree in CS, Engineering, or equivalent experience.

Responsibilities

• Define and influence technical execution strategies across complex use cases and multi-workstream accounts.
• Serve as a trusted technical advisor during architecture discussions with customer leads.
• Design secure, governed, scalable Databricks architectures balancing performance, cost, and reliability.
• Build and demonstrate working solutions, prototypes, and reusable technical assets.
• Mentor peers and contribute reusable guidance across the org.

Skills

Python

SQL

Scala

architecture strategy

stakeholder management

data engineering

cloud architectures

Education

Bachelor's degree in Computer Science or equivalent

Tools

AWS

Azure

GCP

Job description

Databricks Inc. in the United States seeks a Delivery Solutions Architect to partner with Sales and Field Engineering to accelerate adoption of the Databricks platform.

You will design secure, scalable data and AI solutions and guide customers from architectural win to production. You will lead architecture discussions, influence technical decisions, and mentor teams while balancing performance, cost, and governance.