Senior Forward Deployed Engineer - Remote CT/ET NEW

The Briefed; New York (NY); Remote; USD 182,000 - 250,000; Full time

Benefits offered by this job

Equity grants

Comprehensive medical, dental, vision

401(k) retirement plan

Flexible PTO and holidays

Job summary

Databricks is seeking a Senior Forward Deployed Engineer to work with strategic enterprise customers in planning, building, and productionizing end-to-end data and AI solutions. The role combines software engineering, distributed computing, and consultative delivery to own architectures and deliver production-grade systems.

You will embed with client teams, shape platform adoption, and create reusable accelerators while aligning with Databricks product roadmaps.

Qualifications

• 6+ years of professional experience in data engineering, data platform architecture, software development, or analytics engineering.
• Proficient in Python, Scala, or JavaScript/TypeScript with modern application development frameworks.
• Deep hands-on experience with distributed computing via Apache Spark, including Spark runtime internals and performance optimization.
• Working knowledge of two or more public clouds (AWS, Azure, GCP) with deep expertise in at least one.
• Familiarity with MLOps pipelines, machine learning frameworks, AI APIs, and building end-to-end data architectures with user-facing interfaces.
• Hands-on experience implementing CI/CD pipelines for production deployments.
• Databricks Certification (Data Engineer, ML, or Platform).
• Experience in consulting, customer delivery, and enterprise project management.

Responsibilities

• Production Solution Delivery: Lead high-impact technical engagements for enterprise clients by architecting and delivering production-grade data pipelines, reference architectures, custom applications, and ML/AI model integrations.
• End-to-End Architecture Ownership: Lead design and architectural decisions across data engineering, MLOps, and full-stack development—ensuring secure, performant, scalable systems.
• Customer Immersion & Strategic Advisory: Embed with customer engineering pods and executives to understand challenges, bootstrap transformational projects, and drive platform adoption.
• Cross-Functional Collaboration: Partner with Engagement Managers, Solution Architects, Core Engineering, and Customer Support to meet milestones and resolve issues.
• Reusable Assets & Scale: Contribute reusable frameworks, accelerators, and best practices that scale impact across global accounts, feeding product teams.
• Technical Project Leadership: Manage scope, timelines, and outcomes while whiteboarding architectures and resolving stakeholder trade-offs.

Skills

Python

Scala

JavaScript/TypeScript

Apache Spark

AWS

Azure

GCP

MLOps

ML frameworks

AI APIs

UI development

CI/CD

Databricks Certification

Consulting

Forward-deployed engineering

Lakehouse

Delta Lake

Unity Catalog

Open‑source data tools

Tools

Delta Lake

Unity Catalog

Job description

Databricks is the Data and AI company. Over 20,000 organizations worldwide—including 70% of the Fortune 500—rely on the Databricks Data + AI Platform to build and scale data and AI applications, analytics, and autonomous agents.

As a Senior Forward Deployed Engineer (Sr. FDE) based in the Central or Eastern Time Zone, you will work directly with strategic enterprise customers to design, build, and productionize end-to-end solutions for their most complex data and AI challenges. Combining advanced software engineering, distributed computing, and consultative delivery expertise, you will own application architectures, implement distributed data pipelines with Apache Spark™, integrate ML/AI models and APIs, and build user-facing application interfaces. Senior FDEs operate as billable technical leads, embedding deeply with client engineering and executive teams to turn complex requirements into production-grade systems while building reusable accelerators that shape the core Databricks product roadmap.

Key Responsibilities

• Production Solution Delivery: Lead high-impact technical engagements for enterprise clients by architecting and delivering production-grade data pipelines, reference architectures, custom applications, and ML/AI model integrations.
• End-to-End Architecture Ownership: Lead design and architectural decisions across data engineering, MLOps, and full-stack development—ensuring systems built on Databricks are secure, performant, scalable, and aligned with industry best practices.
• Customer Immersion & Strategic Advisory: Embed with customer engineering pods and executive stakeholders to deeply understand technical challenges, bootstrap transformational projects, and drive long-term platform adoption.
• Cross-Functional Collaboration: Partner closely with Engagement Managers, Solution Architects, Core Engineering, and Customer Support to ensure technical milestones are met and engagement issues are rapidly resolved.
• Reusable Assets & Scale: Contribute reusable frameworks, technical accelerators, and best practices that scale impact across global accounts while providing field feedback directly to Databricks product teams.
• Technical Project Leadership: Manage technical scope, delivery timelines, and measurable outcomes while whiteboarding architectures and resolving complex stakeholder trade-offs.

Requirements

Software & Data Engineering Technical Depth

• 6+ years of professional experience in data engineering, data platform architecture, software development, or analytics engineering.
• Polyglot Coding Mastery: Strong proficiency writing production-grade code in Python, Scala, or JavaScript/TypeScript along with modern application development frameworks.
• Apache Spark & Distributed Computing: Deep hands-on experience with distributed computing via Apache Spark™, including advanced knowledge of Spark runtime internals and performance optimization.
• Multi-Cloud Ecosystems: Working knowledge of two or more public cloud environments (AWS, Azure, GCP) with deep expertise in at least one.
• AI/ML & Full-Stack Integration: Practical familiarity with MLOps pipelines, machine learning frameworks, AI APIs, and building end-to-end data architectures with user-facing interfaces.
• DevOps & CI/CD: Hands-on experience implementing CI/CD pipelines for production deployments.
• Certifications: Databricks Certification (Data Engineer, ML, or Platform).
• Consulting & Customer Delivery: Demonstrated experience managing scope, whiteboarding architectures, resolving stakeholder conflicts, and delivering complex client engagements.

Preferred Qualifications

• Prior experience working in forward-deployed engineering, technical consulting, or enterprise cloud platform professional services.
• Deep familiarity with lakehouse architectures, Delta Lake, Unity Catalog, and streaming data engines.
• Proven track record of publishing open-source data utilities, technical whitepapers, or reusable platform accelerators.

Selection & Interview Process

1. Recruiter Screen
2. Hiring Manager Screen
3. Design and Architecture Interview
4. Live Coding Assessment
5. Technical Presentation
6. Reference Check

Total Rewards & Benefits

• Compensation & Equity: Pay range of $182,000 – $250,208 USD (On-Target Earnings across Zones 1–4) + annual performance bonus eligibility + Databricks equity grants.
• Healthcare & Wellbeing: Comprehensive medical, dental, and vision insurance coverage for employees and eligible dependents.
• Financial & Retirement: 401(k) plan options, life/disability coverage, and employee wellness stipends.
• Time Off & Flexibility: Flexible PTO, paid company holidays, paid sick leave, and parental leave.