Solutions Architect (Presales, Data & AI, Digital Native Business)

Databricks
London
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringEducation: mastersSkills: ["Communication","Strategic thinking","Technical advisory","Stakeholder management","Trade-off analysis"]

Own end-to-end technical strategy for customer accounts, from discovery to production deployment and consumption growth. Lead complex architecture discussions spanning data engineering, ML/AI, and real-time analytics, and act as a trusted advisor to senior customer technical leaders. Drive wins in competitive scenarios with tailored Databricks solutions, develop a domain specialisation, and coordinate cross-functional resources to deliver comprehensive outcomes.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Databricks
Databricks
2 days ago

Solutions Architect (Presales, Data & AI, Digital Native Business)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Own end-to-end technical strategy for customer accounts, from discovery to production deployment and consumption growth. Lead complex architecture discussions spanning data engineering, ML/AI, and real-time analytics, and act as a trusted advisor to senior customer technical leaders. Drive wins in competitive scenarios with tailored Databricks solutions, develop a domain specialisation, and coordinate cross-functional resources to deliver comprehensive outcomes.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Own end-to-end technical strategy for accounts from discovery through production deployment and consumption growth.
  • •Lead complex architecture discussions for scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics.
  • •Serve as a trusted technical advisor to customer architects, engineering leads, and Directors.
  • •Drive technical wins in competitive scenarios by demonstrating Databricks differentiation through custom-built solutions.
  • •Orchestrate cross-functional resources (DSAs, SSAs, Partners) and influence product direction with structured customer feedback.

Key Requirements

  • •6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
  • •Strong coding proficiency in Python and SQL, including live coding, debugging, and solution-building skills.
  • •Deep expertise designing distributed data systems (scalable pipelines, streaming architectures, lakehouse patterns, cloud-native data platforms).
  • •Proficiency on the Databricks Platform (or ability to gain it quickly) with a developing technical specialisation (e.g., real-time/streaming, ML/AI, data governance, migrations).
  • •Experience leading architecture discussions with senior stakeholders and familiarity with production deployments on public cloud (AWS, Azure, or GCP).
Experience:Data engineeringPre-salesTechnical pre-sales
Education:Master's in Computer Science, Engineering, or a quantitative discipline
Skills:CommunicationStrategic thinkingTechnical advisoryStakeholder managementTrade-off analysis
Certifications:Databricks certifications
Languages:English
Tech Stack:PythonSQLDatabricks PlatformAWSAzureGCPLakehouse patternsReal-time/streamingML/AIData governanceStreaming architecturesUnity Catalog

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