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 role delivering production-grade data and AI solutions using the Databricks platform. You will own architecture, lead design decisions, and implement end-to-end data engineering, AI, and application development for enterprise clients, embedding with customer teams and ensuring secure, scalable outcomes that align with Databricks best practices.

Location: Philadelphia

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Lead impactful customer technical projects by delivering production-grade systems, reference architectures, and data ingestion/ML-AI model integration
•Guide strategic customers through end-to-end design and deployment of large data and AI solutions, coordinating with engagement managers to scope technical delivery
•Embed with customer teams to understand challenges and deliver measurable impact across technical ICs to executives
•Own architecture and design decisions to ensure secure, scalable solutions aligned with customer needs and Databricks best practices
•Collaborate with Databricks engineers, Project Managers, Architects, and customer teams to ensure successful delivery and rapid issue resolution

Travel: Low travel

Key Requirements

•6+ years experience in data engineering, data platforms & analytics, or software engineering
•Proficiency in Python, Scala, JavaScript/TypeScript, and modern frameworks
•Working knowledge of two or more cloud ecosystems (AWS, Azure, GCP) with 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
•Working knowledge of MLOps, ML/AI models and AI APIs
•Experience designing and deploying end-to-end data architectures combining data pipelines, ML/AI models, and user interfaces
•Experience with technical project delivery, managing scope and timelines, translating concepts into solutions
•Documentation and white-boarding skills
•Travel to customers 20% of the time
•Databricks Certification

Experience:6+ yearsData engineeringData platformsAnalyticsSoftware engineering

Skills:PythonScalaJavaScriptTypeScriptSparkCI/CDMLOpsML/AIData pipelinesDatabricks

Certifications:Databricks Certification

Languages:English

Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkCI/CDMLOpsAWSAzureGCPDatabricks

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: Philadelphia

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Lead impactful customer technical projects by delivering production-grade systems, reference architectures, and data ingestion/ML-AI model integration
•Guide strategic customers through end-to-end design and deployment of large data and AI solutions, coordinating with engagement managers to scope technical delivery
•Embed with customer teams to understand challenges and deliver measurable impact across technical ICs to executives
•Own architecture and design decisions to ensure secure, scalable solutions aligned with customer needs and Databricks best practices
•Collaborate with Databricks engineers, Project Managers, Architects, and customer teams to ensure successful delivery and rapid issue resolution

Travel: Low travel

Key Requirements

•6+ years experience in data engineering, data platforms & analytics, or software engineering
•Proficiency in Python, Scala, JavaScript/TypeScript, and modern frameworks
•Working knowledge of two or more cloud ecosystems (AWS, Azure, GCP) with 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
•Working knowledge of MLOps, ML/AI models and AI APIs
•Experience designing and deploying end-to-end data architectures combining data pipelines, ML/AI models, and user interfaces
•Experience with technical project delivery, managing scope and timelines, translating concepts into solutions
•Documentation and white-boarding skills
•Travel to customers 20% of the time
•Databricks Certification

Experience:6+ yearsData engineeringData platformsAnalyticsSoftware engineering

Skills:PythonScalaJavaScriptTypeScriptSparkCI/CDMLOpsML/AIData pipelinesDatabricks

Certifications:Databricks Certification

Languages:English

Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkCI/CDMLOpsAWSAzureGCPDatabricks

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