Solutions Architect (Genie)

Databricks
Bengaluru, Delhi, Mumbai
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsEducation: bachelorsSkills: ["Trusted advising","Strategic planning","Stakeholder management","Collaboration","Problem-solving"]

Partner with GTM leadership and account teams to design and execute technical engagement strategies across your territory, translating product vision into customer adoption. Serve as a trusted expert and tier-3 escalation point for complex, mission-critical challenges. Build technical credibility through workshops and demos, develop customer-facing collateral, and influence product roadmap by sharing field-derived insights. Architect governed analytics solutions integrating semantic models, warehouses, metric layers, and AI governance across Lakehouse and cloud ecosystems.

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FursaFursa
Databricks
Databricks
1 day ago

Solutions Architect (Genie)

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Last checked: 9 hours agoStatus: Live

Job Summary

Partner with GTM leadership and account teams to design and execute technical engagement strategies across your territory, translating product vision into customer adoption. Serve as a trusted expert and tier-3 escalation point for complex, mission-critical challenges. Build technical credibility through workshops and demos, develop customer-facing collateral, and influence product roadmap by sharing field-derived insights. Architect governed analytics solutions integrating semantic models, warehouses, metric layers, and AI governance across Lakehouse and cloud ecosystems.
Location: Bengaluru, Delhi, Mumbai
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
  • •Act as a trusted expert solutions architect and champion to build technical credibility and drive product adoption.
  • •Enable clients at scale through workshops and customer-facing collateral that increases technical knowledge.
  • •Handle complex technical challenges as the tier-3 escalation point for the field in mission-critical environments.
  • •Translate field-derived, data-driven insights into strategic recommendations to influence product roadmap for Product and Engineering teams.

Key Requirements

  • •6+ years in a customer-facing pre-sales or consulting role influencing technical executives and driving high-level data strategy and product adoption.
  • •Credibility influencing analytics, BI, and natural-language/agentic AI products, with market insight to shape and prioritize roadmap capabilities.
  • •Deep understanding of AI governance and the ability to guide customers through security blockers and concerns.
  • •Experience architecting governed analytics solutions integrating semantic models, data warehouses, and metric layers within Lakehouse and AI ecosystems.
  • •Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering, or similar.
Experience:6+ yearsPre-salesConsulting
Education:Bachelor's
Skills:Trusted advisingStrategic planningStakeholder managementCollaborationProblem-solving
Languages:English
Tech Stack:SQLPythonAWSAzureGCPAnalyticsBINatural-language analyticsAgentic AIAI governanceSemantic modelsData warehousesMetric layersLakehouseUnity CatalogGenieAgent BricksLakeflowLakebase

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