Sr. Forward Deployed Engineer (FDE) - Financial Services

Databricks
New York
Workplace: RemoteFull-timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Customer empathy","Communication","Problem-solving","Collaboration","Planning"]

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.

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FursaFursa
Databricks
Databricks
2 months ago

Sr. Forward Deployed Engineer (FDE) - Financial Services

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 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
WebsiteLinkedIn