Databricks

3 days ago

Manager, Forward Deployed Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Lead and grow a team of ~10 Forward Deployed Engineers who work directly with strategic customers to design, build, and productionize high-impact data and AI solutions on the Databricks Data Intelligence Platform. Shape delivery strategy, provide senior technical escalation, and guide end-to-end solution delivery from architecture through implementation and enablement—while partnering closely with Sales, Field Engineering, Product, and Professional Services to drive measurable outcomes at high quality and scale.

Location: Tokyo

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Lead, hire, mentor, and grow a team of ~10 Forward Deployed Engineers, building a culture of technical excellence and execution.
•Partner with customers and internal stakeholders to shape complex engagements that deliver business outcomes.
•Guide teams through end-to-end solution delivery from discovery and architecture through implementation, deployment, and enablement.
•Act as the senior technical escalation point, staying hands-on for architecture reviews and high-stakes technical calls.
•Improve repeatability and scale by developing reusable delivery patterns, best practices, technical assets, and team processes.

Key Requirements

•Experience leading, hiring, and developing high-performing technical teams in customer-facing environments.
•Hands-on technical credibility to review designs, debug production issues, and act as final technical escalation.
•Strong background in data engineering, big data systems, and production data platform delivery.
•Fluency in Python and SQL, with familiarity with distributed processing (Apache Spark) and JVM languages (Scala/Java).
•Fluent Japanese is required and business-level English is required.

Experience:Data engineeringBig dataAIData platformEnterprise data workloadsLakehouse

Skills:People managementMentorshipExecutive communicationStakeholder managementLeading through ambiguity

Languages:JapaneseEnglish

Tech Stack:PythonSQLApache SparkScalaJavaAWSAzureGoogle CloudGCPGenieClaude CodeCodexLakehouseDelta 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

Website LinkedIn

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Databricks

3 days ago

Manager, Forward Deployed Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Location: Tokyo

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Lead, hire, mentor, and grow a team of ~10 Forward Deployed Engineers, building a culture of technical excellence and execution.
•Partner with customers and internal stakeholders to shape complex engagements that deliver business outcomes.
•Guide teams through end-to-end solution delivery from discovery and architecture through implementation, deployment, and enablement.
•Act as the senior technical escalation point, staying hands-on for architecture reviews and high-stakes technical calls.
•Improve repeatability and scale by developing reusable delivery patterns, best practices, technical assets, and team processes.

Key Requirements

•Experience leading, hiring, and developing high-performing technical teams in customer-facing environments.
•Hands-on technical credibility to review designs, debug production issues, and act as final technical escalation.
•Strong background in data engineering, big data systems, and production data platform delivery.
•Fluency in Python and SQL, with familiarity with distributed processing (Apache Spark) and JVM languages (Scala/Java).
•Fluent Japanese is required and business-level English is required.

Experience:Data engineeringBig dataAIData platformEnterprise data workloadsLakehouse

Skills:People managementMentorshipExecutive communicationStakeholder managementLeading through ambiguity

Languages:JapaneseEnglish

Tech Stack:PythonSQLApache SparkScalaJavaAWSAzureGoogle CloudGCPGenieClaude CodeCodexLakehouseDelta 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

Website LinkedIn