# Senior Forward Deployed Engineer

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** San Francisco, CA, Washington, DC, New York, NY
**Role:** Solutions Architecture
**Salary:** $182k – $250k/yr
**Experience:** 6+ years
**Skills:** Python, Scala, JavaScript, TypeScript, AWS, Azure, GCP, Spark, CI/CD, MLOps, Machine Learning, Ai Apis, Data Engineering, Data Pipelines, Databricks
**Posted:** 2026-09-02

> Forward Deployed Engineer delivering customer-facing data and AI solutions on Databricks, owning architecture, implementation, and production deployment. Requires 6+ years in software or data engineering, cloud expertise, Apache Spark experience, and strong technical project delivery and stakeholder skills.

## Job Description

## Responsibilities
- Lead customer technical projects delivering production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations.
- Design, build, and deploy end-to-end data and AI applications using the Databricks platform.
- Own architecture and design decisions, ensuring solutions are secure, scalable, performant, and aligned with customer needs and Databricks best practices.
- Guide customers through architecture, design, implementation, evaluation, adoption, and transformational big data projects.
- Scope technical delivery work with engagement managers and customers; manage project scope, timelines, and measurable outcomes.
- Collaborate with project managers, architects, Databricks technical teams, engineering, product, developer relations, and customer support.
- Embed with customer teams and engage stakeholders ranging from technical contributors to executives.
- Provide technical training, documentation, whiteboarding, implementation support, and product feedback.
- Contribute reusable accelerators, frameworks, and best practices that scale across accounts and influence the product roadmap.
- Travel to customers approximately 20% of the time.

## Requirements
- 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
- Proficiency in at least one of Python, Scala, JavaScript, or TypeScript, along with modern frameworks.
- Working knowledge of at least two cloud ecosystems—AWS, Azure, or Google Cloud—with expertise in at least one.
- Deep experience with distributed computing using Apache Spark, including knowledge of Spark runtime internals.
- Familiarity with CI/CD for production deployments.
- Working knowledge of MLOps, machine learning and AI models, and AI APIs.
- Experience designing and deploying performant, production-grade data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Experience delivering technical projects and managing scope, timelines, and measurable outcomes.
- Experience working with enterprise clients and managing conflicts across diverse stakeholder groups.
- Strong documentation and whiteboarding skills.
- Curiosity, adaptability, and eagerness to explore technologies supporting Databricks-based solution deployment and integration.

## Nice to Have
- Databricks Certification.

## Compensation
- Base salary range: $182,000–$250,208 USD.
- Total compensation may also include an annual performance bonus, equity, and benefits.

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