Senior Data Solutions Engineer

Databricks; Philadelphia (Philadelphia County); On-site; USD 152,000 - 209,000; Full time

Job summary

Databricks is seeking a Sr. Solutions Engineer in the United States to independently lead technical engagements, from discovery through platform demonstrations. You will own frontline customer relationships and partner with your Account Executive to expand platform usage.

You will build proofs-of-concept and live demos, showing how the Databricks Data Intelligence Platform addresses data engineering, analytics, and ML workloads. Strong coding, presentation, and cloud experience are required.

Qualifications

• Proficient in Python and SQL with production-quality code; live coding interview stage.
• Experience designing data solutions on at least one public cloud (AWS/Azure/GCP).
• Familiarity with distributed data systems (Spark, Delta Lake, Hadoop, Kafka, Flink).
• Bachelor's or Master's degree in CS/Engineering or equivalent experience.

Responsibilities

• Lead technical discovery and solution design for customer workloads across data engineering, analytics, and ML.
• Build and deliver proofs-of-concept and live demos on the Databricks Platform to drive technical wins.
• Own frontline technical relationships with customer engineers and data teams.
• Develop account-level technical strategies in partnership with Account Executives to grow platform usage.
• Navigate competitive landscapes by articulating Databricks differentiation through hands-on demos.
• Contribute reusable technical assets (notebooks, accelerators, reference architectures).

Skills

Python

SQL

Cloud platforms

Spark/Kafka

Presentation skills

Customer-facing

Education

Bachelor's or Master's degree

Tools

Databricks Platform

Unity Catalog

Job description

Databricks is seeking a Sr. Solutions Engineer in the United States to independently lead technical engagements, from discovery through platform demonstrations. You will own frontline customer relationships and partner with your Account Executive to expand platform usage.

You will build proofs-of-concept and live demos, showing how the Databricks Data Intelligence Platform addresses data engineering, analytics, and ML workloads. Strong coding, presentation, and cloud experience are required.