# Sr. Staff Forward Deployed Engineer

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Unspecified
**Role:** Solutions Architecture
**Experience:** 7+ years
**Skills:** Python, SQL, Java, Scala, JavaScript, TypeScript, Data Engineering, Machine Learning, Artificial Intelligence, OpenAI, Anthropic, Gemini, Data Pipelines, Databricks, Systems Integration
**Posted:** 2026-08-11

> Embeds with strategic customers to architect and deliver production-grade full-stack applications on the Databricks platform, spanning data engineering, AI/ML integration, and user-facing development. Requires strong software engineering breadth, enterprise delivery experience, and executive-level communication.

## Job Description

## Responsibilities

- **Own the architecture:** Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
- **Application engineering:** Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to enterprise users on the Databricks platform.
- **Solution delivery:** Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement.
- **Customer immersion:** Embed with customer teams and engage stakeholders from technical individual contributors to executives to understand challenges and deliver impact.
- **Cross-functional collaboration:** Partner with Sales, Product, and Field Engineering throughout the customer journey, from pre-sales through post-deployment.
- **Reusable assets and scale:** Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the product roadmap.

## Requirements

- Strong software engineering background with experience across backend, frontend, and systems integration.
- Proficiency in Python, SQL, Java or Scala, JavaScript or TypeScript, and modern frameworks.
- Experience designing, building, and deploying production applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Familiarity integrating AI APIs such as OpenAI, Anthropic, and Gemini into applications.
- Experience using AI code-generation tools to accelerate productivity.
- Proven record of delivering technical solutions in enterprise environments with measurable outcomes.
- Ability to engage stakeholders ranging from engineers to C-level executives and translate complex concepts into actionable solutions.
- Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges.

## Benefits

- Comprehensive benefits and perks are offered, with details varying by region.

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