Databricks

1 day ago

Sr. Forward Deployed Engineer-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 using the Databricks platform. Own architecture and lead design decisions across end-to-end systems spanning data engineering, ML/AI integration, and application development. Deliver production-grade reference architectures and custom applications, guide transformational big data initiatives, and embed with customer teams to translate needs into secure, scalable outcomes. Contribute reusable accelerators and provide product and implementation feedback to Databricks teams.

Location: Denver, California

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead production solution delivery by designing and building reference architectures, custom applications, and data ingestion with ML/AI integration.
•Guide strategic customers through transformational big data and AI projects, including end-to-end design, build, and deployment.
•Provide architecture and design guidance, bootstrap/implement customer projects to support adoption of Databricks.
•Own architecture and design decisions to ensure solutions are secure and scalable and aligned with Databricks best practices.
•Collaborate with Databricks teams and customers to deliver engagement technical components, provide product/implementation feedback, and resolve issues.

Travel: Medium travel

Pay and Benefits

Salary: USD 182,000 - 250,208

Key Requirements

•6+ years of experience in data engineering, data platforms/analytics, or software engineering.
•Ability to write 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, including Spark runtime internals.
•Familiarity with CI/CD and working knowledge of MLOps, ML/AI models, and AI APIs.

Experience:6+ yearsData engineeringData platformsAnalyticsSoftware engineeringEnterprise clients

Skills:Customer empathyAdaptabilityCuriosityDocumentationStakeholder management

Certifications:Databricks Certification

Languages:En

Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkAWSAzureGCPCI/CDMLOpsML/AIAI APIsMLflowDelta LakeData ingestionDistributed computingBig data

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-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: Denver, California

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead production solution delivery by designing and building reference architectures, custom applications, and data ingestion with ML/AI integration.
•Guide strategic customers through transformational big data and AI projects, including end-to-end design, build, and deployment.
•Provide architecture and design guidance, bootstrap/implement customer projects to support adoption of Databricks.
•Own architecture and design decisions to ensure solutions are secure and scalable and aligned with Databricks best practices.
•Collaborate with Databricks teams and customers to deliver engagement technical components, provide product/implementation feedback, and resolve issues.

Travel: Medium travel

Pay and Benefits

Salary: USD 182,000 - 250,208

Key Requirements

•6+ years of experience in data engineering, data platforms/analytics, or software engineering.
•Ability to write 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, including Spark runtime internals.
•Familiarity with CI/CD and working knowledge of MLOps, ML/AI models, and AI APIs.

Experience:6+ yearsData engineeringData platformsAnalyticsSoftware engineeringEnterprise clients

Skills:Customer empathyAdaptabilityCuriosityDocumentationStakeholder management

Certifications:Databricks Certification

Languages:En

Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkAWSAzureGCPCI/CDMLOpsML/AIAI APIsMLflowDelta LakeData ingestionDistributed computingBig data

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