[Remote] Sr. Forward Deployed Engineer (FDE) - Digital Native Business

October 31, 2026

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Note: The job is a remote job and is open to candidates in USA. Databricks is a data and AI company that provides the Databricks Data + AI Platform. The Forward Deployed Engineer will build and productionize customer solutions spanning data engineering, AI, and application development, while owning architecture and design decisions. The role also involves customer immersion, technical project delivery, training, and contributing reusable assets and product feedback.

Responsibilities

Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer
Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks
Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices
Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs
Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues
Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact
Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap

Skills

6+ years of experience in data engineering, data platforms & analytics, or software engineering
Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
Deep experience with distributed computing with 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
Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces
Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions
Documentation and white-boarding skills
Experience working with enterprise clients and managing conflicts across a broad stakeholder range
Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects
Databricks Certification

Benefits

Eligibility for an annual performance bonus
Equity

Company Overview

Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. It was founded in 2013, and is headquartered in San Francisco, California, USA, with a workforce of 5001-10000 employees. Its website is

Company H1B Sponsorship

Databricks has a track record of offering H1B sponsorships, with 448 in 2026, 381 in 2025, 319 in 2024, 227 in 2023, 222 in 2022, 166 in 2021, 64 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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