Forward Deployed Engineer

Responsibilities

• Lead customer technical projects delivering production-grade data and AI systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations.
• Design and implement end-to-end architectures spanning data engineering, distributed computing, machine learning, and user-facing applications.
• Own architecture and design decisions, ensuring solutions are secure, scalable, performant, and aligned with customer needs and Databricks best practices.
• Guide customers through architecture, implementation, evaluation, adoption, and transformational big data initiatives.
• Collaborate with customers, project managers, architects, engineering, product, developer relations, and customer support teams to deliver technical components and resolve issues.
• Embed with customer teams and engage stakeholders ranging from technical contributors to executives.
• Scope technical delivery work, manage project timelines and outcomes, document solutions, and communicate through whiteboarding.
• Contribute reusable accelerators, frameworks, and best practices that scale across accounts.
• 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 Python, Scala, JavaScript, or TypeScript and modern frameworks.
• Working knowledge of at least two cloud ecosystems, with expertise in one or more of AWS, Azure, or Google Cloud.
• Deep experience with distributed computing using Apache Spark and familiarity with 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 end-to-end data architectures and applications.
• Experience delivering technical projects, managing scope and timelines, and translating complex concepts into actionable solutions.
• Experience working with enterprise clients and managing conflicts across diverse stakeholder groups.
• Strong documentation and whiteboarding skills.
• Curiosity, adaptability, and willingness to explore technologies used to deploy and integrate Databricks-based solutions.

Nice-to-haves

• Databricks certification.