Sr. Solutions Architect (DS/ML/GenAI/LLM)

Databricks
London
Full timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Communication","Leadership","Collaboration","Presentation","Problem-solving"]

Senior pre-sales Solutions Architect focusing on data science, ML, GenAI and LLMs. Lead end-to-end Data & AI solution designs, engage with customers and cross-functional teams, coach junior architects, deliver PoCs, and drive adoption of the Databricks Lakehouse platform. Based in London with UK travel, you’ll influence stakeholders and create customer-facing collateral while advancing four specialty tracks.

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FursaFursa
Databricks
Databricks
7 months ago

Sr. Solutions Architect (DS/ML/GenAI/LLM)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Senior pre-sales Solutions Architect focusing on data science, ML, GenAI and LLMs. Lead end-to-end Data & AI solution designs, engage with customers and cross-functional teams, coach junior architects, deliver PoCs, and drive adoption of the Databricks Lakehouse platform. Based in London with UK travel, you’ll influence stakeholders and create customer-facing collateral while advancing four specialty tracks.
Location: London
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.
  • •Coach junior Solutions Architects and teams on use case prioritisation and building technical champions.
  • •Influence stakeholders at all levels through complex engagements with the broader cloud ecosystem and third-party applications, ensuring they are excited by the Databricks vision and solution strategy.
  • •Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform.
  • •Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
Travel: Medium travel

Key Requirements

  • •Hands-on experience in technical pre-sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI.
  • •Demonstrated ability to architect end-to-end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine-tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc.
  • •Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark.
  • •Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP).
  • •Hands-on expertise in designing and delivering complex proofs-of-concept (PoCs).
Experience:Data analyticsAIGenAICloud
Skills:CommunicationLeadershipCollaborationPresentationProblem-solving
Languages:English
Tech Stack:PythonSQLSparkAWSAzureGCPDataikuDominoDataRobotGenerative AILLMsMLOps

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