Delivery Solutions Architect

Databricks
London
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Stakeholder management","Executive communication","Technical accountability","Problem-solving","Strategy execution"]

Own the post-sale technical strategy and execution for Databricks use cases in strategic accounts, driving onboarding, enablement, go-live, and healthy consumption. Partner with sales and field engineering teams, lead technical account plans across multiple selling teams, and act as the first escalation point for production/go-live technical issues. Coordinate internal specialists, produce POVs to accelerate workloads into production, and deliver KPI reporting on customer health and adoption.

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FursaFursa
Databricks
Databricks
3 days ago

Delivery Solutions Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Own the post-sale technical strategy and execution for Databricks use cases in strategic accounts, driving onboarding, enablement, go-live, and healthy consumption. Partner with sales and field engineering teams, lead technical account plans across multiple selling teams, and act as the first escalation point for production/go-live technical issues. Coordinate internal specialists, produce POVs to accelerate workloads into production, and deliver KPI reporting on customer health and adoption.
Location: London
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead post-technical win technical account strategy and execution for Databricks use cases in strategic accounts.
  • •Act as accountable technical leader for specific use cases and customers across selling teams and internal stakeholders, driving onboarding, enablement, success, and healthy consumption.
  • •Serve as first point of contact for technical issues related to production/go-live status of agreed use cases.
  • •Develop and execute a point-of-view to accelerate key use cases into production, coordinating with Professional Services for delivery proposals.
  • •Provide internal and external updates including KPI reporting on usage status, customer health, risks, product adoption, and use case progression to Technical GM.
Travel: Medium travel

Key Requirements

  • •5+ years accountable for technical project/program delivery in the Data and AI domain.
  • •Programming experience in Python, SQL, or Scala.
  • •Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role.
  • •Understanding of solution architecture for distributed data systems.
  • •Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience.
Experience:5+ yearsData and aiDistributed data systemsCustomer-facing pre-salesConsulting
Education:Bachelor's in Computer Science, Information Systems, Engineering
Skills:Stakeholder managementExecutive communicationTechnical accountabilityProblem-solvingStrategy execution
Languages:English
Tech Stack:PythonSQLScalaDatabricks Data Intelligence PlatformLakehouseUnity 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