Staff Forward Deployed Engineer

Responsibilities

• Build and productionize customer solutions for data and AI challenges using the Databricks platform.
• Own architecture and lead design decisions for secure, scalable, end-to-end systems spanning data engineering, AI, and application development.
• Deliver production-grade systems, reference architectures, custom applications, data ingestion pipelines, and ML/AI model integrations.
• Guide strategic customers through end-to-end design, development, deployment, evaluation, and adoption of big data and AI applications.
• Scope technical delivery work, manage project scope and timelines, and deliver measurable outcomes.
• Advise customers on architecture and design; bootstrap or implement projects and provide technical training.
• Collaborate with Databricks technical teams, project managers, architects, engineering, product, customer support, and customer stakeholders.
• Embed with customer teams and engage stakeholders from technical individual contributors through executives.
• Provide product and implementation feedback and help resolve engagement-specific issues.
• Contribute reusable accelerators, frameworks, documentation, and best practices.
• Travel to customers approximately 20% of the time.

Requirements

• 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
• Programming experience in Python, Scala, JavaScript/TypeScript, and modern frameworks.
• Working knowledge of at least two major cloud ecosystems, with expertise in one or more of AWS, Azure, or Google Cloud.
• Deep experience with distributed computing using Apache Spark and 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 end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
• Experience delivering technical projects and translating complex concepts into actionable solutions.
• Strong documentation and whiteboarding skills.
• Experience working with enterprise clients and managing conflicts across broad stakeholder groups.
• Curiosity, adaptability, and eagerness to learn technologies used to deploy and integrate Databricks-based solutions.
• Databricks certification.