Delivery Solutions Architect - Retail

Databricks
Denver, California
Workplace: HybridFull timeUSD 219,100 - 301,300 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Stakeholder management","Technical communication","Escalation handling","Discovery facilitation","Strategic roadmap planning"]

Drive post-sale technical leadership for strategic Databricks customers, owning technical account strategy and execution for priority use cases. Partner with sales, field engineering, and specialized internal teams to accelerate onboarding, enablement, go-live, and healthy consumption. Lead technical escalations, coordinate with Professional Services on delivery proposals, and develop execution plans spanning production readiness, adoption, governance, and performance tracking across Databricks products.

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FursaFursa
Databricks
Databricks
1 day ago

Delivery Solutions Architect - Retail

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Drive post-sale technical leadership for strategic Databricks customers, owning technical account strategy and execution for priority use cases. Partner with sales, field engineering, and specialized internal teams to accelerate onboarding, enablement, go-live, and healthy consumption. Lead technical escalations, coordinate with Professional Services on delivery proposals, and develop execution plans spanning production readiness, adoption, governance, and performance tracking across Databricks products.
Location: Denver, California
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop and execute post-technical win strategy for major Databricks use cases within strategic accounts.
  • •Act as accountable technical leader across use cases and customers, driving onboarding, enablement, go-live, and ongoing healthy consumption.
  • •Serve as first contact for production/go-live technical issues and questions, escalating to expert technical resources when needed.
  • •Create and own point-of-view for accelerating key use cases into production, coordinating with Professional Services on delivery proposals.
  • •Create execution plans across customer-facing technical roles and teams, including production readiness, enablement/user growth, product adoption, cloud cost control/tuning, and executive governance updates with KPI reporting.
Travel: Medium travel

Pay and Benefits

Salary: USD 219,100 - 301,300 annually
Perks:Annual BonusEquity

Key Requirements

  • •5+ years accountable for technical project/program delivery in Data and AI, able to contribute to technical debate and 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 project deliverables.
  • •Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience; can travel up to 30% when needed.
Experience:5+ yearsData and aiCustomer-facingDistributed systems
Education:Bachelor's
Skills:Stakeholder managementTechnical communicationEscalation handlingDiscovery facilitationStrategic roadmap planning
Languages:English
Tech Stack:Databricks Data Intelligence PlatformPythonSQLScalaLakehouseUnity 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