Sr. Forward Deployed Engineer (FDE) - Financial Services

Databricks
Boston
Workplace: RemoteFull timeUSD 180,656 - 248,360 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Python","Scala","JavaScript","TypeScript","Apache Spark","Spark","CI/CD","MLOps","ML/AI","Data engineering"]

Hands-on, customer-facing Forward Deployed Engineer who designs and productionizes data, AI, and application solutions on the Databricks platform. You own architecture, lead design decisions, and deliver end-to-end deployments for enterprise clients, embedding with customer teams, and shaping best practices that scale across accounts to drive 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: 6 hours agoStatus: Live

Job Summary

Hands-on, customer-facing Forward Deployed Engineer who designs and productionizes data, AI, and application solutions on the Databricks platform. You own architecture, lead design decisions, and deliver end-to-end deployments for enterprise clients, embedding with customer teams, and shaping best practices that scale across accounts to drive measurable business impact.
Location: Boston
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Lead production-grade data, AI, and application deployments for enterprise clients, designing 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 with input from engagement teams.
  • •Embed with customer teams to understand challenges, bootstrap projects, and drive adoption of Databricks solutions.
  • •Own architecture decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
  • •Collaborate with engineering, project managers, architects, and customer teams to deliver all technical components of the engagement and provide feedback for product improvements.
Travel: Low travel

Pay and Benefits

Salary: USD 180,656 - 248,360 annually

Key Requirements

  • •6+ years 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 with Apache Spark and knowledge of Spark runtime internals
  • •Familiarity with CI/CD for production deployments
Experience:6+ yearsData engineeringData platformsAnalyticsSoftware engineering
Skills:PythonScalaJavaScriptTypeScriptApache SparkSparkCI/CDMLOpsML/AIData engineering
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaScriptTypeScriptAWSAzureGCPApache SparkSparkCI/CDMLMLflow

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