Sr. Forward Deployed Engineer (FDE) - Financial Services

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

Hands-on, customer-facing engineer delivering production-grade data, AI, and application solutions on the Databricks platform. Own architecture and design decisions across data engineering, ML/AI, and app development; embed with customer teams; create accelerators and reusable assets while ensuring secure, scalable solutions 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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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Hands-on, customer-facing engineer delivering production-grade data, AI, and application solutions on the Databricks platform. Own architecture and design decisions across data engineering, ML/AI, and app development; embed with customer teams; create accelerators and reusable assets while ensuring secure, scalable solutions and measurable business impact.
Location: Charlotte
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Lead production-grade customer technical projects by delivering reference architectures, custom applications, data ingestion and ML/AI model integration
  • •Guide strategic customers through end-to-end big data projects including design, build and deployment of data and AI solutions
  • •Bootstrap or implement customer projects to enable successful understanding, evaluation and adoption of Databricks
  • •Own architecture: lead design decisions ensuring secure, scalable solutions aligned with customer needs and Databricks best practices
  • •Collaborate with Engagement Managers, Architects and customer teams to deliver technical components and provide feedback to product and support teams
Travel: Medium 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, or JavaScript/TypeScript with modern frameworks
  • •Experience with two or more major cloud platforms (AWS, Azure, GCP) with expertise in at least one
  • •Deep experience with distributed computing using Apache Spark and knowledge of Spark internals
  • •CI/CD for production deployments and familiarity with MLOps, ML/AI models and AI APIs
Experience:6+ yearsData engineeringAnalyticsSoftware engineeringBig data
Skills:PythonScalaJavaScriptTypeScriptApache SparkCI/CDMLOpsML/AI
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkAWSAzureGCPMLflowCI/CD

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