Scale Solution Engineer

Databricks
Tokyo
Workplace: OnsiteFull timeFunction: Customer Success & Account ManagementExperience: 2+ yearsEducation: bachelorsSkills: ["Time management","Prioritization","Written communication","Verbal communication"]

Advise customers during onboarding and help them onboard and deploy Databricks in their production environments. Provide early technical assistance to ensure an excellent customer experience, become an expert on the Databricks platform, and guide technical decision-making. Work concurrently with multiple customers to deliver technical solutions across end-to-end data analytics workflows, including data engineering and data warehousing technologies.

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FursaFursa
Databricks
Databricks
2 days ago

Scale Solution Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Advise customers during onboarding and help them onboard and deploy Databricks in their production environments. Provide early technical assistance to ensure an excellent customer experience, become an expert on the Databricks platform, and guide technical decision-making. Work concurrently with multiple customers to deliver technical solutions across end-to-end data analytics workflows, including data engineering and data warehousing technologies.
Location: Tokyo
Workplace: Onsite
Employment Type: Full time
Job Function: Customer Success & Account Management
Seniority: Mid level

Key Responsibilities

  • •Provide technical assistance to help new customers during onboarding.
  • •Guide customers in making best technical decisions by becoming an expert on the Databricks platform.
  • •Work directly with multiple customers concurrently to deliver technical solutions.
  • •Help customers onboard and deploy Databricks into production environments.
  • •Support end-to-end data analytics workflow adoption using relevant data engineering and warehousing technologies.

Key Requirements

  • •Undergraduate degree or higher in Computer Science, Information Systems, or relevant experience.
  • •2+ years of experience in a technical role, preferably in data or cloud.
  • •Knowledge of at least one public cloud platform: AWS, Azure, or GCP.
  • •Knowledge of a programming language: Python, Scala, or SQL.
  • •Hands-on experience with data engineering and data warehousing technologies (e.g., ETL, dbt, Spark, Airflow; SQL, stored procedures, Redshift, Snowflake).
Experience:2+ yearsData engineeringData warehousingCloudData analytics
Education:Bachelor's
Skills:Time managementPrioritizationWritten communicationVerbal communication
Certifications:Databricks Certification
Languages:JapaneseEnglish
Tech Stack:AWSAzureGCPPythonScalaSQLETLDbtSparkAirflowData warehousingStored proceduresRedshiftSnowflakeData ScienceMachine Learning

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