Sr. Forward Deployed Engineer (FDE) - Financial Services

Databricks
California
Workplace: RemoteFull timeUSD 180,656 - 248,360 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Customer empathy","Communication","Collaboration","Problem-solving","Adaptability"]

Forward Deployed Engineer delivering production-grade data, AI, and application solutions for financial services. Owns architecture and end-to-end design, iterating with engineering, product and customer teams to implement scalable, secure deployments and accelerators across accounts while maintaining strong customer empathy and measurable business impact.

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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

Forward Deployed Engineer delivering production-grade data, AI, and application solutions for financial services. Owns architecture and end-to-end design, iterating with engineering, product and customer teams to implement scalable, secure deployments and accelerators across accounts while maintaining strong customer empathy and measurable business impact.
Location: California
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Director level

Key Responsibilities

  • •Lead production-grade solutions for customer data/AI projects, including architecture, reference designs, and data ingestion/ML model integration
  • •Guide strategic customers through end-to-end design and deployment of big data and AI applications in collaboration with engagement managers
  • •Embed with customer teams to understand challenges and deliver measurable impact while ensuring alignment with Databricks best practices
  • •Own architecture decisions, ensuring secure, scalable solutions and effective collaboration with cross-functional teams
  • •Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence product roadmaps
Travel: Low travel

Pay and Benefits

Salary: USD 180,656 - 248,360 annually

Key Requirements

  • •6+ years of experience in data engineering, data platforms & analytics, or software engineering
  • •Proficiency in Python, Scala, JavaScript/TypeScript or modern frameworks
  • •Experience with two or more cloud ecosystems (AWS, Azure, GCP) and expertise in at least one
  • •Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals
  • •Familiarity with CI/CD for production deployments
Experience:6+ yearsData engineeringAnalyticsSoftware engineeringCloud
Skills:Customer empathyCommunicationCollaborationProblem-solvingAdaptability
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaScriptTypeScriptAWSAzureGCPApache SparkSparkCI/CDMLOpsML/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