Delivery Solutions Architect

Databricks
Bengaluru, Mumbai
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 10+ yearsEducation: bachelorsSkills: ["Stakeholder management","Technical leadership","Communication","Program delivery","Strategic planning"]

Drive post-sale technical strategy and execution for Databricks in strategic accounts, partnering with sales and Field Engineering to accelerate adoption of the Data Intelligence Platform. Serve as the accountable technical leader for complex use cases—from onboarding and enablement through go-live and healthy consumption—while resolving production technical issues and orchestrating internal teams and escalations. Lead discovery, roadmaps, and KPI reporting on customer health and value outcomes.

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FursaFursa
Databricks
Databricks
3 days ago

Delivery Solutions Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Drive post-sale technical strategy and execution for Databricks in strategic accounts, partnering with sales and Field Engineering to accelerate adoption of the Data Intelligence Platform. Serve as the accountable technical leader for complex use cases—from onboarding and enablement through go-live and healthy consumption—while resolving production technical issues and orchestrating internal teams and escalations. Lead discovery, roadmaps, and KPI reporting on customer health and value outcomes.
Location: Bengaluru, Mumbai
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead post-technical win technical account strategy and execution plans for major use cases in strategic accounts.
  • •Act as the accountable technical leader for assigned use cases and customers across multiple teams, driving onboarding, enablement, success, go-live, and healthy consumption.
  • •Be the first point of contact for technical issues and questions related to production/go-live status for agreed use cases.
  • •Coordinate internal Databricks resources (Shared Services, User Education, Onboarding/Technical Services, Support) and escalate to technical experts as needed.
  • •Create and execute a point-of-view and execution plan to accelerate key use cases into production, partnering with Professional Services and reporting KPIs on customer health and adoption.
Travel: Medium travel

Key Requirements

  • •10+ years accountable for technical project/program delivery in Data and AI, contributing to customer design choices and technical debate.
  • •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.
  • •Experience with technical program/project management, stakeholder/resource management, and discovery workshops/strategic roadmaps.
Experience:10+ yearsData and AICustomer successConsultingPre-salesDistributed data systems
Education:Bachelor's in Computer Science, Information Systems, Engineering
Skills:Stakeholder managementTechnical leadershipCommunicationProgram deliveryStrategic planning
Languages:English
Tech Stack:PythonSQLScalaDatabricks Data Intelligence 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