Senior Solutions Engineer - Data & AI Platform Demos

Databricks Inc.; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

Databricks Inc. is seeking a Sr. Solutions Engineer to independently lead technical engagements, owning discovery, design, and platform demonstrations.

You will craft proofs‑of‑concepts and deliver live demos that drive customer adoption, while managing frontline technical relationships with customer engineers and data teams with Account Executives. Strong Python/SQL skills and hands‑on cloud experience (AWS/Azure/GCP) are required to design scalable data and ML solutions.

Qualifications

• 4+ years in data engineering or solutions architecture
• Proficient in Python and SQL with production-quality code
• Experience with at least one cloud platform (AWS, Azure, or GCP)
• Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews
• Strong presentation and demo skills—live solution demos during interviews

Responsibilities

• Lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and ML
• Build and deliver proofs-of-concept and live demos on the platform to drive technical wins
• Own frontline technical relationships with customer engineers, data teams, and technical leads
• Develop account-level technical strategies in partnership with Account Executives to grow platform consumption
• Navigate competitive landscapes by articulating differentiation through hands-on demonstrations
• Contribute reusable technical assets to the SA community

Skills

Data engineering

Solutions architecture

Technical pre-sales

Python

SQL

Cloud platforms

Live demos

Education

Bachelor's or Master's in Computer Science or Engineering

Tools

Unity Catalog

MLflow

Lakeflow

Delta Lake

Job description

Databricks Inc. is seeking a Sr. Solutions Engineer to independently lead technical engagements, owning discovery, design, and platform demonstrations.

You will craft proofs‑of‑concepts and deliver live demos that drive customer adoption, while managing frontline technical relationships with customer engineers and data teams with Account Executives. Strong Python/SQL skills and hands‑on cloud experience (AWS/Azure/GCP) are required to design scalable data and ML solutions.