Senior Solutions Engineer

Databricks
London
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 4+ yearsEducation: bachelorsSkills: ["Presentation skills","Demonstration skills","Technical problem-solving","Debugging","Customer communication"]

Independently lead technical engagements for customers by owning discovery, solution design, and platform demonstrations. Build and deliver proofs-of-concept and live demos on the Databricks Platform to drive adoption across data engineering, analytics, and machine learning. Maintain frontline technical relationships with customer engineers and collaborate with Account Executives to develop account-level technical strategies. Articulate differentiation through hands-on demos and contribute reusable technical assets to the solutions community.

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FursaFursa
Databricks
Databricks
2 months ago

Senior Solutions Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Independently lead technical engagements for customers by owning discovery, solution design, and platform demonstrations. Build and deliver proofs-of-concept and live demos on the Databricks Platform to drive adoption across data engineering, analytics, and machine learning. Maintain frontline technical relationships with customer engineers and collaborate with Account Executives to develop account-level technical strategies. Articulate differentiation through hands-on demos and contribute reusable technical assets to the solutions 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 data engineering, analytics, and machine learning workloads
  • •Build and deliver proofs-of-concept and live demos on the Databricks Platform to drive technical wins
  • •Own frontline technical relationships with customer engineers, data teams, and technical leads
  • •Develop account-level technical strategies in partnership with the 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
  • •Proficiency in Python and SQL, with ability 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 systems)
  • •Experience leading technical customer conversations, including discovery and architecture reviews
Experience:4+ yearsData engineeringTechnical pre-salesData/AICloudData platforms
Education:Bachelor's in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
Skills:Presentation skillsDemonstration skillsTechnical problem-solvingDebuggingCustomer communication
Certifications:Databricks certification
Languages:English
Tech Stack:PythonSQLAWSAzureGCPApache SparkDelta LakeHadoopKafkaFlinkETL/ELTUnity CatalogLakeflow Spark Declarative PipelinesMLflowMLOpsMedallion architectureStreaming

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