Sr. Forward Deployed Engineer (FDE) - Financial Services

Databricks
Dallas
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Python","Scala","JavaScript","TypeScript","Apache Spark","CI/CD","ML/AI","MLflow","Databricks"]

Forward Deployed Engineers (FDEs) work with customers to design, build, and productionize data, AI, and application solutions on the Databricks platform. You own architecture and design decisions, deliver end-to-end systems, and collaborate across engineering, product, and customer teams to drive measurable business outcomes while ensuring scalable, secure deployments.

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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: 7 hours agoStatus: Live

Job Summary

Forward Deployed Engineers (FDEs) work with customers to design, build, and productionize data, AI, and application solutions on the Databricks platform. You own architecture and design decisions, deliver end-to-end systems, and collaborate across engineering, product, and customer teams to drive measurable business outcomes while ensuring scalable, secure deployments.
Location: Dallas
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Lead and deliver production-grade data/AI solutions for customer engagements, including architecture design, reference architectures, and data ingestion/ML model integration.
  • •Guide strategic customers through end-to-end design, build, and deployment of big data and AI applications while coordinating with engagement managers to scope technical work.
  • •Bootstrap or implement customer projects to enable a clear understanding, evaluation, and adoption of Databricks solutions.
  • •Own architecture decisions to ensure security, scalability, and alignment with customer needs and Databricks best practices.
  • •Collaborate with the Databricks technical team, project managers, architects, and customer teams to ensure timely delivery and provide product/implementation feedback.
Travel: Low travel

Key Requirements

  • •6+ years of experience in data engineering, data platforms & analytics, or software engineering
  • •Proficiency 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 and knowledge of Spark runtime internals
  • •Familiarity with CI/CD for production deployments
Experience:6+ yearsData engineeringData platformsAnalyticsEnterprise software
Skills:PythonScalaJavaScriptTypeScriptApache SparkCI/CDML/AIMLflowDatabricks
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkAWSAzureGCPCI/CDMLflowDatabricks

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