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

Work with retail customers to build and productionize data and AI solutions on the Databricks platform. Own architecture and key design decisions, delivering production-grade systems that combine data engineering, ML/AI model integration, and application development. Guide transformational big data initiatives end-to-end, collaborate cross-functionally with engineering and customer-facing teams, and contribute reusable accelerators that scale impact across accounts.

Location: California

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead customer technical projects by delivering production-grade systems, reference architectures, and data ingestion with ML/AI model integration.
•Guide strategic customers through end-to-end design, build, and deployment of big data and AI applications, scoping work with engagement managers.
•Advise customers on architecture and design and bootstrap/implement initiatives that support Databricks evaluation and adoption.
•Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
•Collaborate with Databricks engineering, project management, architects, and customer support to deliver engagement components and provide product/implementation feedback.

Travel: Medium 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.
•Proficiency writing code in Python, Scala, or JavaScript/TypeScript with modern frameworks.
•Working knowledge of at least two cloud ecosystems (AWS, Azure, GCP) with expertise in one.
•Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
•Familiarity with CI/CD and working knowledge of MLOps, ML/AI models, and AI APIs.

Experience:6+ yearsData engineeringData platformsAnalyticsSoftware engineeringEnterprise clientsBig dataAI/ML

Skills:Customer empathyAdaptabilityCuriosityDocumentationWhite-boarding

Certifications:Databricks Certification

Languages:English

Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkAWSAzureGCPCI/CDMLOpsML/AIAI APIs

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 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: California

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead customer technical projects by delivering production-grade systems, reference architectures, and data ingestion with ML/AI model integration.
•Guide strategic customers through end-to-end design, build, and deployment of big data and AI applications, scoping work with engagement managers.
•Advise customers on architecture and design and bootstrap/implement initiatives that support Databricks evaluation and adoption.
•Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
•Collaborate with Databricks engineering, project management, architects, and customer support to deliver engagement components and provide product/implementation feedback.

Travel: Medium 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.
•Proficiency writing code in Python, Scala, or JavaScript/TypeScript with modern frameworks.
•Working knowledge of at least two cloud ecosystems (AWS, Azure, GCP) with expertise in one.
•Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
•Familiarity with CI/CD and working knowledge of MLOps, ML/AI models, and AI APIs.

Experience:6+ yearsData engineeringData platformsAnalyticsSoftware engineeringEnterprise clientsBig dataAI/ML

Skills:Customer empathyAdaptabilityCuriosityDocumentationWhite-boarding

Certifications:Databricks Certification

Languages:English

Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkAWSAzureGCPCI/CDMLOpsML/AIAI APIs

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