Databricks

1 day ago

Sr. Forward Deployed Engineer (FDE) - Retail

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Build and productionize customer solutions for data and AI challenges using the Databricks platform. Own architecture and lead end-to-end delivery spanning data engineering, ML/AI integrations, and application development. Collaborate across engineering, product, developer relations, and customer teams to scope technical work, deliver secure and scalable reference architectures, and capture feedback to improve products. Help customers achieve evaluation and adoption through technical immersion, enablement, and reusable accelerators.

Location: Austin

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead production-grade customer technical projects, designing and building reference architectures, custom applications, and data ingestion with ML/AI model integration.
•Guide strategic customers through transformational big data and AI implementations, including end-to-end design, build, and deployment, with engagement managers to scope delivery.
•Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
•Collaborate with Databricks technical teams, project managers, architects, and customer teams to deliver engagement technical components meeting customer needs.
•Embed with customer teams, provide implementation guidance and training, bootstrap or implement customer projects, and deliver product/implementation feedback to engineering and customer support.

Travel: Low travel

Pay and Benefits

Salary: USD 182,000 - 250,208 annually

Key Requirements

•6+ years of experience in data engineering, data platforms/analytics, or software engineering.
•Comfort coding in Python, Scala, or JavaScript/TypeScript with modern frameworks.
•Working knowledge of two or more cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
•Deep experience with distributed computing using Apache Spark (including Spark runtime internals) and familiarity with CI/CD.
•Working knowledge of MLOps, ML/AI models, and AI APIs, including designing and deploying production end-to-end data architectures and applications.

Experience:6+ years

Skills:Customer empathyAdaptabilityDocumentationCross-functional collaborationProblem-solving

Certifications:Databricks Certification

Languages:English

Tech Stack:PythonScalaJavaScript/TypeScriptApache SparkAWSAzureGCPCI/CDMLOpsML/AIAI APIsSpark runtime internalsDelta 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

Loading job details...

Preparing the role view and application actions.

Databricks

1 day ago

Sr. Forward Deployed Engineer (FDE) - Retail

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Austin

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead production-grade customer technical projects, designing and building reference architectures, custom applications, and data ingestion with ML/AI model integration.
•Guide strategic customers through transformational big data and AI implementations, including end-to-end design, build, and deployment, with engagement managers to scope delivery.
•Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
•Collaborate with Databricks technical teams, project managers, architects, and customer teams to deliver engagement technical components meeting customer needs.
•Embed with customer teams, provide implementation guidance and training, bootstrap or implement customer projects, and deliver product/implementation feedback to engineering and customer support.

Travel: Low travel

Pay and Benefits

Salary: USD 182,000 - 250,208 annually

Key Requirements

•6+ years of experience in data engineering, data platforms/analytics, or software engineering.
•Comfort coding in Python, Scala, or JavaScript/TypeScript with modern frameworks.
•Working knowledge of two or more cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
•Deep experience with distributed computing using Apache Spark (including Spark runtime internals) and familiarity with CI/CD.
•Working knowledge of MLOps, ML/AI models, and AI APIs, including designing and deploying production end-to-end data architectures and applications.

Experience:6+ years

Skills:Customer empathyAdaptabilityDocumentationCross-functional collaborationProblem-solving

Certifications:Databricks Certification

Languages:English

Tech Stack:PythonScalaJavaScript/TypeScriptApache SparkAWSAzureGCPCI/CDMLOpsML/AIAI APIsSpark runtime internalsDelta 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