Databricks

2 weeks ago

Pre-sales Senior Technical Solutions Engineer (Data and AI)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Deliver pre-sales technical value to clients across your assigned UK territory, collaborating with an Account Executive and Senior Solutions Architect to translate business needs into Databricks Data Intelligence Platform solutions. Run hands-on evaluations using Spark programming, integrate with cloud and third-party ecosystems, and advise on data architecture and design. Author reference architectures and demo applications while building the technical community through workshops, seminars, and meet-ups.

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Build client relationships across your assigned territory in collaboration with an Account Executive and a Senior Solutions Architect.
•Conduct hands-on evaluations and Spark programming, integrating with cloud ecosystems and third-party applications.
•Act as a big data analytics advisor across architecture and design topics.
•Support customers by authoring reference architectures, how-tos, and demo applications.
•Engage with the technical community via workshops, seminars, and meet-ups.

Travel: Medium travel

Key Requirements

•Technical customer-facing experience with a background in Data Science, Generative AI, Machine Learning, Data Warehousing, or Data Engineering.
•Experience with pre-sales or post-sales work with external clients.
•Ability to independently deliver technical propositions, identify customer pain points, and communicate business value as a trusted advisor.
•Proficiency coding in a core programming language such as Python, Java, or Scala.
•Familiarity with big data analytics and exposure to advanced proofs-of-concept plus a major public cloud platform (AWS, GCP, or Azure).

Experience:Data scienceGenerative aiMachine learningData warehousingData engineeringPre-sales

Skills:Customer-facingRelationship buildingCommunicationProblem-solvingTechnical advising

Certifications:Databricks Certification

Languages:English

Tech Stack:SparkPythonJavaScalaAWSGCPAzure

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

Website LinkedIn

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Databricks

2 weeks ago

Pre-sales Senior Technical Solutions Engineer (Data and AI)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Build client relationships across your assigned territory in collaboration with an Account Executive and a Senior Solutions Architect.
•Conduct hands-on evaluations and Spark programming, integrating with cloud ecosystems and third-party applications.
•Act as a big data analytics advisor across architecture and design topics.
•Support customers by authoring reference architectures, how-tos, and demo applications.
•Engage with the technical community via workshops, seminars, and meet-ups.

Travel: Medium travel

Key Requirements

•Technical customer-facing experience with a background in Data Science, Generative AI, Machine Learning, Data Warehousing, or Data Engineering.
•Experience with pre-sales or post-sales work with external clients.
•Ability to independently deliver technical propositions, identify customer pain points, and communicate business value as a trusted advisor.
•Proficiency coding in a core programming language such as Python, Java, or Scala.
•Familiarity with big data analytics and exposure to advanced proofs-of-concept plus a major public cloud platform (AWS, GCP, or Azure).

Experience:Data scienceGenerative aiMachine learningData warehousingData engineeringPre-sales

Skills:Customer-facingRelationship buildingCommunicationProblem-solvingTechnical advising

Certifications:Databricks Certification

Languages:English

Tech Stack:SparkPythonJavaScalaAWSGCPAzure

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

Website LinkedIn