Forward Deployed Engineer – Lead

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Databricks

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Artificial Intelligence • Enterprise • SaaS

Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $1.6G Series H on 2021-08

📋 Description

• Embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. • Own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. • Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. • Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. • Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement. • Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. • Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment. • Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

🎯 Requirements

• Strong background in software engineering with experience across backend, frontend, and systems integration. • Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks. • Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces. • Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity. • Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes. • Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions. • Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges. • Ability and interest to travel up to 50% as needed to client sites.

🏖️ Benefits

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.