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

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

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: 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

Website LinkedIn