Senior Forward-Deployed Engineer: Enterprise Data & AI Solutions

The Briefed

New York (NY)

Remote

USD 182,000 - 250,000

Full time

6 days ago

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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.