Solutions Architect

Databricks
London
Full timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsEducation: bachelorsSkills: ["Communication","Strategic thinking","Technical leadership","Stakeholder management","Problem-solving"]

Lead end-to-end technical strategy for customer accounts, from discovery through production deployment and increased consumption. Run complex architecture discussions across data engineering, ML/AI, and real-time analytics, acting as a trusted advisor to customer architects and engineering leaders. Demonstrate Databricks differentiation in competitive scenarios, develop a technical specialization, orchestrate cross-functional teams, and provide structured feedback to influence product direction.

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FursaFursa
Databricks
Databricks
1 day ago

Solutions Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Lead end-to-end technical strategy for customer accounts, from discovery through production deployment and increased consumption. Run complex architecture discussions across data engineering, ML/AI, and real-time analytics, acting as a trusted advisor to customer architects and engineering leaders. Demonstrate Databricks differentiation in competitive scenarios, develop a technical specialization, orchestrate cross-functional teams, and provide structured feedback to influence product direction.
Location: London
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 designing scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics
  • •Serve as a trusted technical advisor to customer architects and engineering leads
  • •Drive technical wins in competitive scenarios by demonstrating Databricks differentiation via custom-built solutions
  • •Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions and provide structured feedback to influence product direction

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
  • •Deep expertise designing distributed data systems (scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms)
  • •Proficiency with the Databricks Platform (or ability to achieve proficiency quickly) with a developing specialization (e.g., real-time/streaming, ML/AI, data governance, migrations)
  • •Experience leading architecture discussions with senior technical stakeholders and owning production deployments on public cloud (AWS, Azure, or GCP) including security and governance
Experience:6+ yearsData engineeringData and AITechnical pre-sales
Education:Bachelor's in Computer Science, Engineering, or a quantitative discipline
Skills:CommunicationStrategic thinkingTechnical leadershipStakeholder managementProblem-solving
Certifications:Databricks certifications (Data Engineer, ML, Platform)
Languages:English
Tech Stack:PythonSQLAWSAzureGCPDatabricks PlatformLakehouseUnity CatalogLakeflowLakebaseGenieAgent Bricks

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