Sr. Solutions Architect (Pre-sales) - Utilities/Energy

Databricks
Tokyo
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Stakeholder management","Communication","Problem-solving","Influence","Autonomy"]

Partner with Databricks’ largest and most complex Utilities/Energy customers to advise on adopting the Data Intelligence Platform and achieving unified platform goals. Lead technical pre-sales engagements, develop customer engagement strategies with Account Executives, and coach account teams on positioning and adoption. Deliver hands-on demos, prototypes, and proofs-of-concept across the Lakehouse platform and cloud ecosystems (AWS, Azure, Google), while influencing stakeholders and creating customer-facing collateral through workshops and seminars.

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FursaFursa
Databricks
Databricks
4 days ago

Sr. Solutions Architect (Pre-sales) - Utilities/Energy

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Partner with Databricks’ largest and most complex Utilities/Energy customers to advise on adopting the Data Intelligence Platform and achieving unified platform goals. Lead technical pre-sales engagements, develop customer engagement strategies with Account Executives, and coach account teams on positioning and adoption. Deliver hands-on demos, prototypes, and proofs-of-concept across the Lakehouse platform and cloud ecosystems (AWS, Azure, Google), while influencing stakeholders and creating customer-facing collateral through workshops and seminars.
Location: Tokyo
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Engage with complex Utilities/Energy customers to help achieve unified platform goals.
  • •Develop and execute customer engagement strategies with Account Executives and Solutions Architects for designated accounts.
  • •Coach core account teams and peers on positioning, adoption strategies, and execution to meet outcomes.
  • •Act as an expert solutions architect and trusted advisor for data analytics architecture, design, and Lakehouse adoption.
  • •Create customer-facing collateral and lead workshops, seminars, and meet-ups to drive community engagement.
Travel: High travel

Key Requirements

  • •Technical pre-sales experience engaging in complex customer interactions across the sales lifecycle.
  • •Technical background in Data Engineering/Data Warehousing or Machine Learning/AI.
  • •Ability to code in a core language (Python or SQL) and willingness to learn a base level of Spark.
  • •Hands-on experience delivering complex proofs-of-concept on public cloud platforms across AWS, Azure, and Google.
  • •Japanese business fluency required (business-level English is a plus).
Experience:UtilitiesEnergyData engineeringData warehousingMachine learningAISaaSPublic cloud
Skills:Stakeholder managementCommunicationProblem-solvingInfluenceAutonomy
Certifications:Databricks Certification
Languages:JapaneseEnglish
Tech Stack:PythonSQLSparkAWSAzureGoogleDatabricks Data Intelligence PlatformDatabricks LakehouseLakehouseDelta 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