Field Engineering Manager, Specialist Solutions Architects

Databricks
Seoul
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Communication","Strategic planning","Analytical thinking","Mentoring","Team leadership","Prioritization","Self-starter"]

Lead a team of Specialist Solutions Architects that provides deep technical expertise across the most strategic Databricks customer engagements. Hire, train, and grow the team while supporting complex pre-sales and post-sales cycles, customer architecture guidance, and value-focused solution discovery. Partner with Sales and Solution Architects to shape technical account strategy, grow Databricks Platform usage, prevent churn, and manage escalations for high-priority opportunities in your region.

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FursaFursa
Databricks
Databricks
6 days ago

Field Engineering Manager, Specialist Solutions Architects

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Lead a team of Specialist Solutions Architects that provides deep technical expertise across the most strategic Databricks customer engagements. Hire, train, and grow the team while supporting complex pre-sales and post-sales cycles, customer architecture guidance, and value-focused solution discovery. Partner with Sales and Solution Architects to shape technical account strategy, grow Databricks Platform usage, prevent churn, and manage escalations for high-priority opportunities in your region.
Location: Seoul
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Manager level

Key Responsibilities

  • •Hire, train, and grow a diverse team of Specialist Solutions Architects for Databricks.
  • •Exceed regional consumption targets by deploying technical experts to drive critical use cases.
  • •Ensure customers are successful with Databricks by delivering outsized business value.
  • •Oversee and retire a regional growth quota to grow platform usage and prevent churn in strategic accounts.
  • •Act in a supportive manager capacity including handling escalations, mentoring, and building a career path for team members.

Key Requirements

  • •5+ years leading Data & AI Engineering teams and technical pre-sales/post-sales teams with a proven track record managing elite technical individual contributors.
  • •5+ years hands-on experience developing data solutions with highly technical platforms such as distributed computing, cloud data warehousing, MLOps, and Generative AI infrastructure.
  • •Strong skills in technical discovery, architecture design validation, and structured POC/MVP management using value-selling frameworks.
  • •Trusted advisor to technical executives on strategic data infrastructure decisions.
  • •Native proficiency in Korean and business-level English preferred.
Experience:5+ yearsData engineeringAI engineeringPre-salesPost-salesMLOpsGenerative AI
Skills:CommunicationStrategic planningAnalytical thinkingMentoringTeam leadershipPrioritizationSelf-starter
Languages:KoreanEnglish
Tech Stack:Distributed computingCloud data warehousingMLOpsGenerative AIData engineeringData scienceMachine learningGenAIPOCMVP

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