Databricks

1 month ago

Sr. Forward Deployed Engineer (FDE) - Financial Services

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 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

Website LinkedIn

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Databricks

1 month ago

Sr. Forward Deployed Engineer (FDE) - Financial Services

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

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

Website LinkedIn