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 on the Databricks platform by owning end-to-end architecture and leading design decisions across data engineering, AI/ML, and application development. Deliver production-grade reference architectures and custom applications, guide customers through transformational big data initiatives, and embed with stakeholders to drive measurable outcomes. Contribute reusable accelerators and provide product/implementation feedback to Databricks teams, with ~20% customer travel.

Location: Chicago, 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, custom applications, and data ingestion with ML/AI model integration.
•Drive transformational big data and AI implementations end-to-end, working with engagement managers to scope delivery work.
•Guide customers on architecture and design, bootstrap/implement initiatives to support Databricks understanding, evaluation, and adoption.
•Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
•Embed with customer teams, deliver feedback to Databricks engineering/support, and contribute accelerators and best practices that scale across accounts.

Travel: Medium travel

Pay and Benefits

Salary: USD 182,000 - 250,208

Equity and Bonus:Equity

Key Requirements

•6+ years of experience in data engineering, data platforms/analytics, or software engineering.
•Comfortable writing code in Python, Scala, JavaScript/TypeScript, and 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, including Spark runtime internals.
•Familiarity with CI/CD for production deployments and working knowledge of MLOps, ML/AI models, and AI APIs.

Experience:6+ years

Skills:Customer empathyAdaptabilityCuriosityStakeholder managementDocumentation

Certifications:Databricks Certification

Languages:English

Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkAWSAzureGCPCI/CDMLOpsAI APIsDelta 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

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: Chicago, 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, custom applications, and data ingestion with ML/AI model integration.
•Drive transformational big data and AI implementations end-to-end, working with engagement managers to scope delivery work.
•Guide customers on architecture and design, bootstrap/implement initiatives to support Databricks understanding, evaluation, and adoption.
•Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
•Embed with customer teams, deliver feedback to Databricks engineering/support, and contribute accelerators and best practices that scale across accounts.

Travel: Medium travel

Pay and Benefits

Salary: USD 182,000 - 250,208

Equity and Bonus:Equity

Key Requirements

•6+ years of experience in data engineering, data platforms/analytics, or software engineering.
•Comfortable writing code in Python, Scala, JavaScript/TypeScript, and 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, including Spark runtime internals.
•Familiarity with CI/CD for production deployments and working knowledge of MLOps, ML/AI models, and AI APIs.

Experience:6+ years

Skills:Customer empathyAdaptabilityCuriosityStakeholder managementDocumentation

Certifications:Databricks Certification

Languages:English

Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkAWSAzureGCPCI/CDMLOpsAI APIsDelta 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