Sr. Solutions Engineer
Core
Lead technical engagements for customers by owning discovery, solution design, and platform demonstrations to drive Databricks adoption.
Role type
Senior Solutions Engineer (Technical Pre-Sales)
Builds
Proofs-of-concept, live demos, and reusable technical assets (notebooks, solution accelerators, reference architectures) on the Databricks Platform.
Domain
Data Engineering, Analytics, and Machine Learning on Cloud Platforms
Deliverable
production ML models | product features
Required skills
Python, PySpark/Spark, Cloud Platform Design (AWS/Azure/GCP), Distributed Data Systems, Technical Customer Discovery, Architecture Reviews, Data Engineering (ETL/ELT, Streaming), Data Science/ML (MLOps), SQL Analytics, Presentation and Demo Skills
Preferred skills
Databricks Platform experience, Unity Catalog, Lakeflow Spark Declarative Pipelines, MLflow, Background at data/AI company or cloud provider
Technologies
Databricks, Apache Spark, Delta Lake, AWS, Azure, GCP, Unity Catalog, Lakeflow, MLflow, Kafka, Flink
Responsibilities
Lead technical discovery and solution design for customer workloads; Build and deliver compelling proofs-of-concept and live demos; Own frontline technical relationships with customer engineers and data teams; Develop account-level technical strategies with Account Executives; Navigate competitive landscapes through hands-on demonstrations; Contribute reusable technical assets to the SA community
Seniority
Senior, hands-on IC