Sr. Solutions Engineer

Databricks
London
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 4+ yearsEducation: bachelorsSkills: ["Presentation","Demo skills","Technical communication","Customer-facing collaboration","Technical strategy"]

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 technical wins, while managing frontline relationships with customer engineers and data teams. Partner with Account Executives to create account-level technical strategies that expand platform usage and articulate Databricks differentiation through hands-on demonstrations.

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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: 33 minutes agoStatus: Live
Reposted: similar role first listed 6 days ago

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 technical wins, while managing frontline relationships with customer engineers and data teams. Partner with Account Executives to create account-level technical strategies that expand platform usage and articulate Databricks differentiation through hands-on demonstrations.
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 Account Executives to grow platform consumption.
  • •Contribute reusable technical assets such as notebooks, solution accelerators, and reference architectures to the SA community.

Key Requirements

  • •4+ years in data engineering, solutions architecture, technical pre-sales, or hands-on consulting.
  • •Proficiency in Python and SQL, including ability to debug, optimize, and write production-quality code (live coding required).
  • •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 such as Apache Spark and Delta Lake (or equivalent).
  • •Experience leading technical customer conversations, including discovery, whiteboarding, and architecture reviews.
Experience:4+ yearsData engineeringSolutions architectureTechnical pre-salesConsultingData/AI
Education:Bachelor's in Computer Science, Engineering, or a quantitative discipline
Skills:PresentationDemo skillsTechnical communicationCustomer-facing collaborationTechnical strategy
Certifications:Databricks certification
Languages:English
Tech Stack:PythonSQLAWSAzureGCPApache SparkDelta LakeHadoopKafkaFlinkUnity CatalogLakeflow Spark Declarative PipelinesMLflowETL/ELTMedallion architectureMLOpsNotebooksReference architecturesSolution acceleratorsWhiteboarding

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