Databricks

1 month ago

Sr. Forward Deployed Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Senior, hands-on engineer delivering production-grade data and AI solutions for enterprise customers. You will own architecture, lead design decisions across data engineering, ML/AI models, and applications, and collaborate with engineering, product, and client teams to ensure secure, scalable deployments and measurable customer impact.

Location: Tokyo

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Lead production-grade data and AI solution delivery for customer projects, including architecture and reference designs.
•Guide end-to-end design and deployment of data pipelines, ML/AI models, and user-facing interfaces in production.
•Collaborate with engagement managers, engineers, and customer teams to scope, deliver, and validate technical work.
•Embed with customer teams to understand challenges, deliver impact, and enable adoption of the Databricks platform.
•Contribute accelerators, frameworks, and best practices to scale impact across accounts and inform product roadmaps.

Travel: Medium travel

Key Requirements

•6+ years experience in data engineering, data platforms & analytics, or software engineering
•Proficient in Python, Scala, or JavaScript/TypeScript with modern frameworks
•Experience with two or more cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
•Deep experience with distributed computing using Apache Spark and knowledge of Spark internals
•Familiarity with CI/CD for production deployments

Experience:6+ yearsData engineeringAnalyticsSoftware engineering

Skills:CommunicationLeadershipProblem-solvingCustomer-facingCollaboration

Languages:JapaneseEnglish

Tech Stack:PythonScalaJavaScriptTypeScriptAWSAzureGCPApache SparkSparkCI/CDMLOpsMLflow

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

1 month ago

Sr. Forward Deployed Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Tokyo

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Lead production-grade data and AI solution delivery for customer projects, including architecture and reference designs.
•Guide end-to-end design and deployment of data pipelines, ML/AI models, and user-facing interfaces in production.
•Collaborate with engagement managers, engineers, and customer teams to scope, deliver, and validate technical work.
•Embed with customer teams to understand challenges, deliver impact, and enable adoption of the Databricks platform.
•Contribute accelerators, frameworks, and best practices to scale impact across accounts and inform product roadmaps.

Travel: Medium travel

Key Requirements

•6+ years experience in data engineering, data platforms & analytics, or software engineering
•Proficient in Python, Scala, or JavaScript/TypeScript with modern frameworks
•Experience with two or more cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
•Deep experience with distributed computing using Apache Spark and knowledge of Spark internals
•Familiarity with CI/CD for production deployments

Experience:6+ yearsData engineeringAnalyticsSoftware engineering

Skills:CommunicationLeadershipProblem-solvingCustomer-facingCollaboration

Languages:JapaneseEnglish

Tech Stack:PythonScalaJavaScriptTypeScriptAWSAzureGCPApache SparkSparkCI/CDMLOpsMLflow

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