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 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

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: 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

Website LinkedIn