Databricks

1 day ago

Sr. Forward Deployed Engineer - FDE (Fullstack)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Build and productionize customer solutions for their data and AI challenges using the Databricks platform. Own architecture and lead design decisions while delivering production-grade reference architectures, custom applications, and data ingestion plus ML/AI integration. Partner with engineering, product, developer relations, and customer teams to scope, deliver, and scale impact—providing technical guidance, feedback, and training as you embed with stakeholders from ICs to executives.

Location: Berlin, Munich

Workplace: Onsite

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 model integration.
•Guide transformational big data and AI initiatives end-to-end, working with engagement managers to scope technical delivery.
•Own architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
•Embed with customer teams and engage stakeholders from technical ICs to executives to deeply understand challenges and deliver measurable outcomes.
•Partner with Databricks engineering, support, project management, and architects to deliver technical components, provide product/implementation feedback, and help resolve engagement-specific issues.

Travel: Medium travel

Key Requirements

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

Experience:6+ yearsData engineeringData platformsAnalyticsSoftware engineering

Skills:Customer empathyAdaptabilityCuriosityDocumentationStakeholder management

Certifications:Databricks Certification

Languages:English

Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkAWSAzureGCPCI/CDMLOpsMLflowDelta LakeLakehouseAI 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 (Fullstack)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Berlin, Munich

Workplace: Onsite

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 model integration.
•Guide transformational big data and AI initiatives end-to-end, working with engagement managers to scope technical delivery.
•Own architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
•Embed with customer teams and engage stakeholders from technical ICs to executives to deeply understand challenges and deliver measurable outcomes.
•Partner with Databricks engineering, support, project management, and architects to deliver technical components, provide product/implementation feedback, and help resolve engagement-specific issues.

Travel: Medium travel

Key Requirements

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

Experience:6+ yearsData engineeringData platformsAnalyticsSoftware engineering

Skills:Customer empathyAdaptabilityCuriosityDocumentationStakeholder management

Certifications:Databricks Certification

Languages:English

Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkAWSAzureGCPCI/CDMLOpsMLflowDelta LakeLakehouseAI 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