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Sr. Solutions Engineer

DatabricksData Lakehouse company
London, United KingdomSenior
Andreessen Horowitz logo
Andreessen Horowitz
New Enterprise Associates logo
New Enterprise Associates
Morgan Stanley
T. Rowe Price logo
T. Rowe Price
NVIDIA logo
NVIDIA
CapitalG logo
CapitalG
Sales & Account ManagementNew

About the role

TL;DR

Lead technical engagements, design solutions, and demonstrate Databricks platform capabilities to customers.

  • FEQ327R417 The Role As a Sr.
  • Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations.
  • You are a builder who can code, architect, and present—combining technical depth with customer-facing skills to drive Databricks adoption.
  • You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage.
  • Key Responsibilities Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins Own frontline technical relationships with customer engineers, data teams, and technical leads Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations Requirements 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role Proficient in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code
  • live coding is a required interview stage Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations
  • discovery, whiteboarding, architecture reviews
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Required skills

PythonSQLAWSAzureGoogle CloudSparkDatabricks

Nice-to-have skills

MLflow

Tech stack

PythonSQLAWSAzureGoogle CloudSparkDatabricks

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