Forward Deployed Engineer

• Work with customers to build and productionize solutions to data and AI challenges using the Databricks platform
• Own architecture, lead design decisions, and implement end-to-end systems across data engineering, AI, and application development
• Lead customer technical projects by delivering production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations
• Guide strategic customers through end-to-end design, build, and deployment of big data and AI applications
• Scope technical delivery work with engagement managers and customer input
• Guide customers on architecture and design and support successful evaluation and adoption of Databricks
• Ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices
• Collaborate with Databricks technical teams, Project Managers, Architects, and customer teams to deliver technical engagement components
• Provide product and implementation feedback and help resolve engagement-specific product and support issues
• Embed with customer teams and engage stakeholders from technical individual contributors to executives
• Contribute accelerators, frameworks, and best practices that scale across accounts and influence the Databricks product roadmap

• 6+ years experience in data engineering, data platforms & analytics, or software engineering
• Comfortable writing code in Python, Scala, JavaScript/TypeScript, and modern frameworks
• Working knowledge of two or more common cloud ecosystems (AWS, Azure, GCP), with expertise in at least one
• 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, ML/AI models, and AI APIs
• Experience designing and deploying performant production end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces
• Experience with technical project delivery, including managing scope, timelines, and measurable outcomes
• Ability to translate complex concepts into actionable solutions
• Documentation and white-boarding skills
• Experience working with enterprise clients and managing conflicts across a broad stakeholder range
• Curiosity, adaptability, and eagerness to explore technologies supporting Databricks-based solution deployment and integration
• Willingness to travel to customers 20% of the time
• Databricks Certification

• Comprehensive benefits and perks tailored to employees' regional needs
• Remote work arrangement in India
• Databricks Certification