Sr. Delivery Solutions Architect - Digital Native Business

Databricks
California
Workplace: HybridFull timeUSD 219,100 - 301,300Function: Solutions Engineering & Sales EngineeringExperience: 7+ yearsEducation: bachelorsSkills: ["Stakeholder management","Executive communication","Technical leadership","Strategic planning","Problem-solving"]

Serve as the post-sale technical lead for Databricks’ most strategic customers, partnering with sales and field engineering to accelerate adoption of Databricks workloads. Drive technical account strategy and execution across complex use cases, ensuring onboarding, enablement, go-live, and healthy consumption. Own escalation for production and status questions, coordinate internal technical resources, and create POVs and delivery plans that advance use cases into production while reporting customer health and KPI progress.

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FursaFursa
Databricks
Databricks
1 day ago

Sr. Delivery Solutions Architect - Digital Native Business

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Last checked: 6 hours agoStatus: Live

Job Summary

Serve as the post-sale technical lead for Databricks’ most strategic customers, partnering with sales and field engineering to accelerate adoption of Databricks workloads. Drive technical account strategy and execution across complex use cases, ensuring onboarding, enablement, go-live, and healthy consumption. Own escalation for production and status questions, coordinate internal technical resources, and create POVs and delivery plans that advance use cases into production while reporting customer health and KPI progress.
Location: California
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead engagement with Solutions Architects to understand customer use-case demand and prioritize strategic accounts.
  • •Own and execute technical account strategy for major Databricks use cases, driving onboarding, enablement, go-live, and sustained workload consumption.
  • •Act as the accountable technical leader across use cases and stakeholders, escalating issues and coordinating Shared Services, User Education, Onboarding/Technical Services, and Support.
  • •Create and execute a POV for accelerating key use cases into production, coordinating with Professional Services to deliver engagement proposals.
  • •Develop execution plans across workstreams (win-to-production, enablement, adoption of the Lakehouse vision, cloud cost control/tuning/optimization, governance) and provide KPI reporting on usage, health, risks, and adoption progression.
Travel: Medium travel

Pay and Benefits

Salary: USD 219,100 - 301,300

Key Requirements

  • •7+ years of experience accountable for technical project or program delivery in Data and AI, with the ability to contribute to 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 connect deliverables to business value.
  • •Technical program or project management experience including account, stakeholder, and resource management; ability to resolve complex escalations with senior customer executives.
Experience:7+ yearsData and AI
Education:Bachelor's
Skills:Stakeholder managementExecutive communicationTechnical leadershipStrategic planningProblem-solving
Languages:English
Tech Stack:PythonSQLScalaDatabricks Data + AI PlatformLakehouseUnity 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