Databricks

2 months 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

Embedded with strategic customers to design and deliver custom fullstack solutions on the Databricks Data Intelligence Platform, owning architecture and end-to-end delivery across data engineering, AI, and application development. Combines software engineering depth with customer-facing impact, collaborating with cross-functional teams to ensure secure, scalable, and measurable outcomes for enterprise clients.

Location: Melbourne, Sydney

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
•Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform.
•Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement.
•Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
•Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment.

Key Requirements

•Strong background in software engineering with experience across backend, frontend, and systems integration; proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript.

Experience:Enterprise softwareAIData platforms

Skills:PythonJavaScriptTypeScriptSQLJavaScalaData pipelinesML/AIOpenAIAnthropicGemini

Languages:English

Tech Stack:PythonSQLJavaScalaJavaScriptTypeScriptOpenAIAnthropicGeminiDatabricksML/AI

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

2 months 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: Melbourne, Sydney

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
•Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform.
•Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement.
•Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
•Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment.

Key Requirements

•Strong background in software engineering with experience across backend, frontend, and systems integration; proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript.

Experience:Enterprise softwareAIData platforms

Skills:PythonJavaScriptTypeScriptSQLJavaScalaData pipelinesML/AIOpenAIAnthropicGemini

Languages:English

Tech Stack:PythonSQLJavaScalaJavaScriptTypeScriptOpenAIAnthropicGeminiDatabricksML/AI

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