3 days 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: 15 hours agoStatus: Live

Job Summary

Build and productionize customer solutions for their data and AI challenges on the Databricks platform. Own end-to-end architecture and design decisions across data engineering, ML/AI integration, and application development, working cross-functionally with engineering, product, and developer relations. Deliver production-grade reference architectures and customer projects, guide stakeholders from technical ICs to executives, and contribute reusable accelerators that scale across accounts.

Location: California

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Lead production solution delivery for customer technical projects, including reference architectures, custom applications, and data ingestion with ML/AI integration.
•Guide transformational big data and AI implementations from end-to-end design through deployment, scoped with engagement managers.
•Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
•Embed with customer teams and stakeholders to understand challenges, evaluate and drive adoption of Databricks solutions.
•Provide product and implementation feedback with engineering and customer support, and contribute reusable accelerators and best practices that scale across accounts.

Travel: Medium travel

Pay and Benefits

Salary: USD 182,000 - 250,208 annually

Equity and Bonus:Equity

Key Requirements

•6+ years experience in data engineering, data platforms & analytics, or software engineering.
•Comfortable writing code in Python, Scala, and/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 and Apache Spark, including Spark runtime internals.
•Working knowledge of MLOps, ML/AI models, and AI APIs, plus production end-to-end data architecture delivery.

Experience:Data engineeringData platformsAnalyticsSoftware engineeringBig dataAI/MLEnterprise clients

Skills:Customer empathyAdaptabilityCuriosityDocumentationStakeholder management

Certifications:Databricks Certification

Languages:English

Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkAWSAzureGCPCI/CDMLOpsML/AI modelsAI APIsDelta LakeMLflowLakehouse

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

3 days 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: 15 hours agoStatus: Live

Job Summary

Location: California

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Lead production solution delivery for customer technical projects, including reference architectures, custom applications, and data ingestion with ML/AI integration.
•Guide transformational big data and AI implementations from end-to-end design through deployment, scoped with engagement managers.
•Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
•Embed with customer teams and stakeholders to understand challenges, evaluate and drive adoption of Databricks solutions.
•Provide product and implementation feedback with engineering and customer support, and contribute reusable accelerators and best practices that scale across accounts.

Travel: Medium travel

Pay and Benefits

Salary: USD 182,000 - 250,208 annually

Equity and Bonus:Equity

Key Requirements

•6+ years experience in data engineering, data platforms & analytics, or software engineering.
•Comfortable writing code in Python, Scala, and/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 and Apache Spark, including Spark runtime internals.
•Working knowledge of MLOps, ML/AI models, and AI APIs, plus production end-to-end data architecture delivery.

Experience:Data engineeringData platformsAnalyticsSoftware engineeringBig dataAI/MLEnterprise clients

Skills:Customer empathyAdaptabilityCuriosityDocumentationStakeholder management

Certifications:Databricks Certification

Languages:English

Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkAWSAzureGCPCI/CDMLOpsML/AI modelsAI APIsDelta LakeMLflowLakehouse

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