Sr. Solutions Engineer

Databricks
London
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringEducation: bachelorsSkills: ["Presentation","Customer-facing communication","Technical discovery","Whiteboarding","Architecture reviews"]

Independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations to drive Databricks adoption. Build proofs-of-concept and live demos across data engineering, analytics, and ML workloads, while serving as the frontline technical partner to customer teams and coordinating with the Account Executive on technical strategies. Translate competitive differentiation into hands-on demos and contribute reusable technical assets to the SA community.

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FursaFursa
Databricks
Databricks
2 days ago

Sr. Solutions Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live
Reposted: similar role first listed 1 week ago

Job Summary

Independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations to drive Databricks adoption. Build proofs-of-concept and live demos across data engineering, analytics, and ML workloads, while serving as the frontline technical partner to customer teams and coordinating with the Account Executive on technical strategies. Translate competitive differentiation into hands-on demos and contribute reusable technical assets to the SA community.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Independently lead technical discovery and solution design for customer workloads across data engineering, analytics, and machine learning
  • •Build and deliver proofs-of-concept and live demos on the Databricks Platform to achieve technical wins
  • •Own frontline technical relationships with customer engineers, data teams, and technical leads
  • •Develop account-level technical strategies with an Account Executive to grow platform consumption
  • •Contribute reusable technical assets such as notebooks, solution accelerators, and reference architectures

Key Requirements

  • •4+ years in data engineering, solutions architecture, technical pre-sales, or hands-on consulting
  • •Proficient in Python and PySpark/Spark, able to debug, optimize, and write production-quality code (live coding required)
  • •Hands-on experience designing and implementing data solutions on AWS, Azure, or GCP
  • •Working knowledge of distributed data systems such as Apache Spark and Delta Lake (or equivalent like Hadoop, Kafka, Flink)
  • •Experience leading technical customer conversations including discovery, whiteboarding, and architecture reviews
Experience:Data engineeringSolutions architectureTechnical pre-salesConsultingData/AICloud
Education:Bachelor's
Skills:PresentationCustomer-facing communicationTechnical discoveryWhiteboardingArchitecture reviews
Certifications:Databricks certification
Languages:English
Tech Stack:PythonPySparkSparkApache SparkDelta LakeHadoopKafkaFlinkAWSAzureGCPSQLETL/ELTMedallion architectureUnity CatalogLakeflow Spark Declarative PipelinesMLflowMLOps

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn