Databricks

1 month ago

Sr. Forward Deployed Engineer (FDE) - Financial Services

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Join Databricks as a Forward Deployed Engineer delivering production-grade data, AI and application solutions for financial services. Lead architecture and end-to-end design, embed with customer teams, and drive measurable outcomes while ensuring security, scalability, and alignment with Databricks best practices. Travel up to 20% and contribute reusable accelerators and frameworks across accounts.

Location: New York

Workplace: Remote

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
•Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications
•Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a successful understanding, evaluation and adoption of Databricks
•Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices
•Travel to customers 20% of the time: Engage with customer teams across locations and ensure delivery meets commitments

Travel: Medium travel

Key Requirements

•6+ years experience in data engineering, data platforms & analytics, or software engineering
•Proficient 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 with Apache Spark and knowledge of Spark runtime internals
•Familiarity with CI/CD for production deployments

Experience:6+ yearsData engineeringAnalyticsSoftware engineering

Skills:Customer empathyCommunicationProblem-solvingCollaborationPlanning

Certifications:Databricks Certification

Languages:English

Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkAWSAzureGCPCI/CDMLflowML/AI

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 month ago

Sr. Forward Deployed Engineer (FDE) - Financial Services

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Remote

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
•Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications
•Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a successful understanding, evaluation and adoption of Databricks
•Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices
•Travel to customers 20% of the time: Engage with customer teams across locations and ensure delivery meets commitments

Travel: Medium travel

Key Requirements

•6+ years experience in data engineering, data platforms & analytics, or software engineering
•Proficient 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 with Apache Spark and knowledge of Spark runtime internals
•Familiarity with CI/CD for production deployments

Experience:6+ yearsData engineeringAnalyticsSoftware engineering

Skills:Customer empathyCommunicationProblem-solvingCollaborationPlanning

Certifications:Databricks Certification

Languages:English

Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkAWSAzureGCPCI/CDMLflowML/AI

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