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

Forward Deployed Engineer delivering production-grade data, AI, and application solutions for financial services. Owns architecture and end-to-end design, iterating with engineering, product and customer teams to implement scalable, secure deployments and accelerators across accounts while maintaining strong customer empathy and measurable business impact.

Location: California

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Director level

Key Responsibilities

•Lead production-grade solutions for customer data/AI projects, including architecture, reference designs, and data ingestion/ML model integration
•Guide strategic customers through end-to-end design and deployment of big data and AI applications in collaboration with engagement managers
•Embed with customer teams to understand challenges and deliver measurable impact while ensuring alignment with Databricks best practices
•Own architecture decisions, ensuring secure, scalable solutions and effective collaboration with cross-functional teams
•Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence product roadmaps

Travel: Low travel

Pay and Benefits

Salary: USD 180,656 - 248,360 annually

Key Requirements

•6+ years of experience in data engineering, data platforms & analytics, or software engineering
•Proficiency in Python, Scala, JavaScript/TypeScript or modern frameworks
•Experience with two or more cloud ecosystems (AWS, Azure, GCP) and expertise in at least one
•Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals
•Familiarity with CI/CD for production deployments

Experience:6+ yearsData engineeringAnalyticsSoftware engineeringCloud

Skills:Customer empathyCommunicationCollaborationProblem-solvingAdaptability

Certifications:Databricks Certification

Languages:English

Tech Stack:PythonScalaJavaScriptTypeScriptAWSAzureGCPApache SparkSparkCI/CDMLOpsML/AI

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: California

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Director level

Key Responsibilities

•Lead production-grade solutions for customer data/AI projects, including architecture, reference designs, and data ingestion/ML model integration
•Guide strategic customers through end-to-end design and deployment of big data and AI applications in collaboration with engagement managers
•Embed with customer teams to understand challenges and deliver measurable impact while ensuring alignment with Databricks best practices
•Own architecture decisions, ensuring secure, scalable solutions and effective collaboration with cross-functional teams
•Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence product roadmaps

Travel: Low travel

Pay and Benefits

Salary: USD 180,656 - 248,360 annually

Key Requirements

•6+ years of experience in data engineering, data platforms & analytics, or software engineering
•Proficiency in Python, Scala, JavaScript/TypeScript or modern frameworks
•Experience with two or more cloud ecosystems (AWS, Azure, GCP) and expertise in at least one
•Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals
•Familiarity with CI/CD for production deployments

Experience:6+ yearsData engineeringAnalyticsSoftware engineeringCloud

Skills:Customer empathyCommunicationCollaborationProblem-solvingAdaptability

Certifications:Databricks Certification

Languages:English

Tech Stack:PythonScalaJavaScriptTypeScriptAWSAzureGCPApache SparkSparkCI/CDMLOpsML/AI

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