Databricks

2 weeks ago

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

✓ Verified Job

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

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

Website LinkedIn

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Databricks

2 weeks ago

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

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 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 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

Website LinkedIn