Pre-sales Senior Technical Solutions Engineer (AI/ML - Digital Native Business) x2

Databricks
London
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Customer-facing","Relationship-building","Trusted-advisor","Technical storytelling","Independent delivery"]

Work with a customer-focused team to deliver technical and business value during pre-sales engagements across your assigned UK territory. Run hands-on evaluations using Spark programming, integrate with cloud ecosystems and third-party applications, and advise on data/AI architecture and design. Build customer confidence through reference architectures, how-tos, and demo applications, while contributing to Databricks technical community via workshops and meet-ups. Progress toward independently operating Solutions Architect responsibilities.

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FursaFursa
Databricks
Databricks
2 months ago

Pre-sales Senior Technical Solutions Engineer (AI/ML - Digital Native Business) x2

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Work with a customer-focused team to deliver technical and business value during pre-sales engagements across your assigned UK territory. Run hands-on evaluations using Spark programming, integrate with cloud ecosystems and third-party applications, and advise on data/AI architecture and design. Build customer confidence through reference architectures, how-tos, and demo applications, while contributing to Databricks technical community via workshops and meet-ups. Progress toward independently operating Solutions Architect responsibilities.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Build successful client relationships in your assigned territory in collaboration with an Account Executive and a Senior Solutions Architect.
  • •Conduct hands-on evaluations of Databricks using Spark programming and integrate solutions with cloud ecosystems and third-party applications.
  • •Advise customers on big data analytics architecture and design, including delivering technically sound propositions.
  • •Author reference architectures, how-tos, and demo applications to support customer success.
  • •Engage in workshops, seminars, and meet-ups to help build the Databricks technical community.
Travel: Medium travel

Key Requirements

  • •Experience in data science, generative AI, machine learning, data warehousing, or data engineering with strong technical, customer-facing skills.
  • •Any experience in pre-sales or post-sales work with external clients, including building narratives and achieving tangible outcomes.
  • •Ability to independently deliver technical propositions by identifying customer pain points and explaining business value.
  • •Code in a core programming language such as Python, Java, or Scala.
  • •Knowledge of big data analytics with exposure to advanced proofs-of-concept and a major public cloud platform (AWS, GCP, Azure).
Skills:Customer-facingRelationship-buildingTrusted-advisorTechnical storytellingIndependent delivery
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonJavaScalaSparkAWSGCPAzureDatabricks Data Intelligence PlatformApache SparkDelta LakeMLflowLakehouse

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