Sr. Forward Deployed Engineer (FDE) - Financial Services

Databricks
Chicago
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Python","Scala","JavaScript","TypeScript","Cloud","Spark","CI/CD","MLOps","ML/AI","Databricks","APIs"]

Hands-on, customer-facing engineer delivering production-grade data and AI solutions on the Databricks platform. Owns architecture, guides design decisions, and implements end-to-end data, ML/AI, and application components for enterprise clients. Combines software/data engineering with strong customer empathy to drive measurable business outcomes and scalable reference architectures.

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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: 4 hours agoStatus: Live

Job Summary

Hands-on, customer-facing engineer delivering production-grade data and AI solutions on the Databricks platform. Owns architecture, guides design decisions, and implements end-to-end data, ML/AI, and application components for enterprise clients. Combines software/data engineering with strong customer empathy to drive measurable business outcomes and scalable reference architectures.
Location: Chicago
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead production-grade data, AI, and application solutions for customer engagements, delivering end-to-end systems and reference architectures
  • •Guide strategic customers through end-to-end design, build, and deployment of data and AI applications with input from stakeholders
  • •Bootstrap or implement customer projects to enable successful understanding, evaluation, and adoption of Databricks solutions
  • •Own architecture and design decisions to ensure secure, scalable, and customer-aligned outcomes
  • •Collaborate with Databricks teams (Engineering, PM, Architects, Support) to deliver engagement components and provide feedback for product improvements
Travel: Low travel

Key Requirements

  • •6+ years of experience in data engineering, data platforms & analytics, or software engineering
  • •Proficient in Python, Scala, or JavaScript/TypeScript
  • •Experience with two or more major cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • •Deep experience with distributed computing using Apache Spark and knowledge of Spark internals
  • •Familiarity with CI/CD for production deployments
Experience:6+ yearsData engineeringData platformsAnalyticsSoftware engineering
Skills:PythonScalaJavaScriptTypeScriptCloudSparkCI/CDMLOpsML/AIDatabricksAPIs
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaScriptTypeScriptAWSAzureGCPSparkApache SparkCI/CDMLOpsMLflowDatabricks

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