Delivery Solutions Architect - Startups & Emerging Enterprise

Databricks
California, Colorado, Illinois, Massachusetts, New York, Oregon, Texas, Washington
Workplace: HybridFull timeUSD 180,000 - 247,500 annuallyFunction: Solutions Engineering & Sales EngineeringEducation: bachelorsSkills: ["Stakeholder management","Executive communication","Program and project delivery","Escalation handling","Strategic planning"]

Serve as the post-sale technical lead for Databricks customers, partnering with sales and field engineering to accelerate adoption of the Databricks Data Intelligence Platform. Drive growth through stakeholder leadership, executive relationships, and cross-team orchestration while owning technical strategies for key use cases. Own onboarding to go-live and healthy consumption, handle production issues and escalations, coordinate with Professional Services, and work with Product and Engineering on previews and upgrades.

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FursaFursa
Databricks
Databricks
1 month ago

Delivery Solutions Architect - Startups & Emerging Enterprise

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Last checked: 6 hours agoStatus: Live

Job Summary

Serve as the post-sale technical lead for Databricks customers, partnering with sales and field engineering to accelerate adoption of the Databricks Data Intelligence Platform. Drive growth through stakeholder leadership, executive relationships, and cross-team orchestration while owning technical strategies for key use cases. Own onboarding to go-live and healthy consumption, handle production issues and escalations, coordinate with Professional Services, and work with Product and Engineering on previews and upgrades.
Location: California, Colorado, Illinois, Massachusetts, New York, Oregon, Texas, Washington
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Own post-technical-win account strategy and execution for key use cases across strategic accounts.
  • •Serve as accountable technical leader for specific customers/use cases, driving onboarding, enablement, go-live, and healthy consumption.
  • •Act as first point of contact for technical issues and production/go-live status for agreed use cases.
  • •Create and execute a point of view to accelerate key use cases into production, coordinating with Professional Services on engagement proposals.
  • •Provide KPI reporting on usage and customer health and partner with Product and Engineering on previews, upgrades, and innovations.
Travel: Medium travel

Pay and Benefits

Salary: USD 180,000 - 247,500 annually
Equity and Bonus:Equity

Key Requirements

  • •5+ years delivering technical programs/projects in data and AI, with the ability to contribute to technical debate and design choices with customers.
  • •Programming experience in Python, SQL, or Scala.
  • •Experience in customer-facing pre-sales, technical architecture, customer success, or consulting.
  • •Understanding of solution architecture for distributed data systems.
  • •Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
Experience:Data and AIDistributed data systemsCustomer-facing pre-salesTechnical architectureTechnical consulting
Education:Bachelor's
Skills:Stakeholder managementExecutive communicationProgram and project deliveryEscalation handlingStrategic planning
Languages:English
Tech Stack:PythonSQLScalaDatabricksLakehouseApache SparkDelta LakeMLflow

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