Sr. Forward Deployed Engineer (FDE) - Financial Services

Databricks
Atlanta
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Communication","Collaboration","Problem-solving","Customer focus","Adaptability"]

A hands-on, customer-facing software engineering role that combines data engineering, AI, and application development to deliver production-grade data/AI solutions for enterprise clients. You will own architecture, lead design decisions, guide customers, and ensure secure, scalable deployments while collaborating with engineering, product, and customer teams to deliver measurable business impact.

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FursaFursa
Databricks
Databricks
2 months ago

Sr. Forward Deployed Engineer (FDE) - Financial Services

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

A hands-on, customer-facing software engineering role that combines data engineering, AI, and application development to deliver production-grade data/AI solutions for enterprise clients. You will own architecture, lead design decisions, guide customers, and ensure secure, scalable deployments while collaborating with engineering, product, and customer teams to deliver measurable business impact.
Location: Atlanta
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead production-grade customer projects by delivering reference architectures, custom applications, data ingestion and ML/AI model integration
  • •Guide strategic customers through end-to-end design, build and deployment of big data and AI applications with input from engagement managers
  • •Bootstrap or implement customer projects to ensure successful understanding, evaluation and adoption of Databricks
  • •Own architecture and design decisions to ensure secure, scalable solutions aligned with customer needs and Databricks best practices
  • •Collaborate with the Databricks technical team, Project Manager, Architect and Customer team to deliver engagement components
Travel: Low travel

Key Requirements

  • •6+ years experience in data engineering, data platforms & analytics, or software engineering
  • •Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
  • •Working knowledge of two or more common 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 analyticsAnalyticsCloudBig dataEnterprise software
Skills:CommunicationCollaborationProblem-solvingCustomer focusAdaptability
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaScriptTypeScriptAWSAzureGCPApache SparkSparkCI/CDML/Ops

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