Senior Data Solutions Architect & Live Demo Leader

WinsAbove; California (MO); Hybrid; USD 152,000 - 209,000; Full time

Job summary

Databricks seeks a Sr. Solutions Engineer to independently lead technical engagements, owning discovery, solution design, and platform demos. You will partner with Account Executives to grow platform usage and own frontline customer relationships across data teams.

The role requires coding in Python/SQL, design of data solutions on cloud platforms, and strong presentation skills for live demonstrations. Collaboration with a cross-functional team is essential.

Qualifications

• 4+ years in data engineering, solutions architecture, technical pre-sales, or hands-on consulting
• Proficient in Python and SQL with production-quality code; live coding interview
• Experience designing data solutions on AWS, Azure, or GCP
• Knowledge of distributed data systems: Spark, Delta Lake, Hadoop, Kafka, Flink
• Experience leading technical customer conversations: discovery and architecture reviews
• Background in data engineering, data science/ML, or SQL analytics
• Bachelor's or Master's in CS/Engineering or quantitative field

Responsibilities

• Lead technical discovery and solution design for customer workloads
• Build and deliver proofs-of-concept and live demos to drive technical wins
• Own frontline technical relationships with customer engineers and data teams
• Develop account-level technical strategies with Account Executives to grow platform usage
• Articulate Databricks differentiation through hands-on demonstrations
• Contribute reusable technical assets to the SA community

Skills

Python

SQL

Cloud platforms

Distributed data systems

Live demos

Presentation skills

Customer-facing

Education

Bachelor's or Master's in CS/Engineering/quantitative field

Tools

Databricks certification

Unity Catalog

MLflow

Job description

Databricks seeks a Sr. Solutions Engineer to independently lead technical engagements, owning discovery, solution design, and platform demos. You will partner with Account Executives to grow platform usage and own frontline customer relationships across data teams.

The role requires coding in Python/SQL, design of data solutions on cloud platforms, and strong presentation skills for live demonstrations. Collaboration with a cross-functional team is essential.