Delivery Solutions Architect

Databricks
Melbourne, Queensland, New South Wales
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Stakeholder management","Executive communication","Technical accountability","Strategic planning","Complex escalation management"]

Own post-sale technical account leadership for Databricks customers, translating complex use-case plans into successful onboarding, enablement, go-live, and healthy consumption. Partner with sales and field engineering to drive technical win strategies, coordinate customer-facing technical roles, and resolve production-related technical issues. Create POVs to accelerate key use cases into production, guide adoption of the Lakehouse vision, and deliver KPI reporting on customer health, risks, and investment status to your Technical GM.

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FursaFursa
Databricks
Databricks
1 day ago

Delivery Solutions Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Own post-sale technical account leadership for Databricks customers, translating complex use-case plans into successful onboarding, enablement, go-live, and healthy consumption. Partner with sales and field engineering to drive technical win strategies, coordinate customer-facing technical roles, and resolve production-related technical issues. Create POVs to accelerate key use cases into production, guide adoption of the Lakehouse vision, and deliver KPI reporting on customer health, risks, and investment status to your Technical GM.
Location: Melbourne, Queensland, New South Wales
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Lead post-technical win technical account strategy and execution plan across priority use cases in strategic accounts.
  • •Serve as the accountable technical leader for assigned use cases and customers, driving onboarding, enablement, success, go-live, and healthy consumption.
  • •Act as the first point of contact for production/go-live technical issues and questions, coordinating shared services, education, onboarding/technical services, support, and expert escalation.
  • •Develop and own POVs and execution plans to accelerate key use cases into production, coordinating with Professional Services on engagement proposals.
  • •Navigate Databricks product and engineering teams for innovations, private previews, and upgrade needs; provide internal/external updates and KPI reporting on usage status, customer health, risks, and adoption progression.
Travel: Medium travel

Key Requirements

  • •5+ years accountable for technical project/program delivery in the domain of Data and AI, with the ability to debate technical design choices with customers.
  • •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 and how to attribute business value to deliverables.
  • •Technical program/project management experience including account, stakeholder, and resource management accountability.
Experience:5+ yearsData and AICustomer successConsulting
Education:Bachelor's
Skills:Stakeholder managementExecutive communicationTechnical accountabilityStrategic planningComplex escalation management
Languages:En
Tech Stack:PythonSQLScalaLakehouseUnity CatalogGenieLakebaseAgent BricksLakeflow

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